Models
Docs
Pricing
Sign in
Download
Models
Download
Docs
Pricing
Sign in
gemma4
:31b-mlx
16.3M
Downloads
Updated
2 hours ago
Gemma 4 models are designed to deliver frontier-level performance at each size. They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding.
Gemma 4 models are designed to deliver frontier-level performance at each size. They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding.
Cancel
vision
tools
thinking
audio
cloud
e2b
e4b
12b
26b
31b
gemma4:31b-mlx
...
/
json
84b135028779 · 144kB
{
"architectures": [
"Gemma4ForConditionalGeneration"
],
"audio_config": null,
"audio_token_id": 258881,
"boa_token_id": 256000,
"boi_token_id": 255999,
"dtype": "bfloat16",
"eoa_token_id": 258883,
"eoa_token_index": 258883,
"eoi_token_id": 258882,
"eos_token_id": [
1,
106
],
"image_token_id": 258880,
"initializer_range": 0.02,
"model_type": "gemma4",
"text_config": {
"attention_bias": false,
"attention_dropout": 0.0,
"attention_k_eq_v": true,
"bos_token_id": 2,
"dtype": "bfloat16",
"enable_moe_block": false,
"eos_token_id": 1,
"expert_intermediate_size": null,
"final_logit_softcapping": 30.0,
"global_head_dim": 512,
"head_dim": 256,
"hidden_activation": "gelu_pytorch_tanh",
"hidden_size": 5376,
"hidden_size_per_layer_input": 0,
"initializer_range": 0.02,
"intermediate_size": 21504,
"layer_types": [
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention"
],
"max_position_embeddings": 262144,
"model_type": "gemma4_text",
"moe_intermediate_size": null,
"num_attention_heads": 32,
"num_experts": null,
"num_global_key_value_heads": 4,
"num_hidden_layers": 60,
"num_key_value_heads": 16,
"num_kv_shared_layers": 0,
"pad_token_id": 0,
"rms_norm_eps": 1e-06,
"rope_parameters": {
"full_attention": {
"partial_rotary_factor": 0.25,
"rope_theta": 1000000.0,
"rope_type": "proportional"
},
"sliding_attention": {
"rope_theta": 10000.0,
"rope_type": "default"
}
},
"sliding_window": 1024,
"tie_word_embeddings": true,
"top_k_experts": null,
"use_bidirectional_attention": "vision",
"use_cache": true,
"use_double_wide_mlp": false,
"vocab_size": 262144,
"vocab_size_per_layer_input": 262144
},
"tie_word_embeddings": true,
"transformers_version": "5.10.0.dev0",
"video_token_id": 258884,
"vision_config": {
"_name_or_path": "",
"architectures": null,
"attention_bias": false,
"attention_dropout": 0.0,
"chunk_size_feed_forward": 0,
"default_output_length": 280,
"dtype": "bfloat16",
"global_head_dim": 72,
"head_dim": 72,
"hidden_activation": "gelu_pytorch_tanh",
"hidden_size": 1152,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1"
},
"initializer_range": 0.02,
"intermediate_size": 4304,
"is_encoder_decoder": false,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1
},
"max_position_embeddings": 131072,
"model_type": "gemma4_vision",
"num_attention_heads": 16,
"num_hidden_layers": 27,
"num_key_value_heads": 16,
"output_attentions": false,
"output_hidden_states": false,
"patch_size": 16,
"pooling_kernel_size": 3,
"position_embedding_size": 10240,
"problem_type": null,
"return_dict": true,
"rms_norm_eps": 1e-06,
"rope_parameters": {
"rope_theta": 100.0,
"rope_type": "default"
},
"standardize": true,
"use_clipped_linears": false
},
"vision_soft_tokens_per_image": 280,
"quantization_config": {
"config_groups": {
"group_0": {
"input_activations": {
"dynamic": false,
"num_bits": 4,
"type": "float",
"group_size": 16
},
"weights": {
"dynamic": false,
"num_bits": 4,
"type": "float",
"group_size": 16
},
"targets": [
"model.embed_vision.embedding_projection",
"model.language_model.layers.0.mlp.down_proj",
"model.language_model.layers.0.mlp.gate_proj",
"model.language_model.layers.0.mlp.up_proj",
"model.language_model.layers.0.self_attn.k_proj",
"model.language_model.layers.0.self_attn.o_proj",
"model.language_model.layers.0.self_attn.q_proj",
"model.language_model.layers.0.self_attn.v_proj",
"model.language_model.layers.1.mlp.down_proj",
"model.language_model.layers.1.mlp.gate_proj",
"model.language_model.layers.1.mlp.up_proj",
"model.language_model.layers.1.self_attn.k_proj",
"model.language_model.layers.1.self_attn.o_proj",
"model.language_model.layers.1.self_attn.q_proj",
"model.language_model.layers.1.self_attn.v_proj",
"model.language_model.layers.10.mlp.down_proj",
"model.language_model.layers.10.mlp.gate_proj",
"model.language_model.layers.10.mlp.up_proj",
"model.language_model.layers.10.self_attn.k_proj",
"model.language_model.layers.10.self_attn.o_proj",
"model.language_model.layers.10.self_attn.q_proj",
"model.language_model.layers.10.self_attn.v_proj",
"model.language_model.layers.11.mlp.down_proj",
"model.language_model.layers.11.mlp.gate_proj",
"model.language_model.layers.11.mlp.up_proj",
"model.language_model.layers.11.self_attn.k_proj",
"model.language_model.layers.11.self_attn.o_proj",
"model.language_model.layers.11.self_attn.q_proj",
"model.language_model.layers.12.mlp.down_proj",
"model.language_model.layers.12.mlp.gate_proj",
"model.language_model.layers.12.mlp.up_proj",
"model.language_model.layers.12.self_attn.k_proj",
"model.language_model.layers.12.self_attn.o_proj",
"model.language_model.layers.12.self_attn.q_proj",
"model.language_model.layers.12.self_attn.v_proj",
"model.language_model.layers.13.mlp.down_proj",
"model.language_model.layers.13.mlp.gate_proj",
"model.language_model.layers.13.mlp.up_proj",
"model.language_model.layers.13.self_attn.k_proj",
"model.language_model.layers.13.self_attn.o_proj",
"model.language_model.layers.13.self_attn.q_proj",
"model.language_model.layers.13.self_attn.v_proj",
"model.language_model.layers.14.mlp.down_proj",
"model.language_model.layers.14.mlp.gate_proj",
"model.language_model.layers.14.mlp.up_proj",
"model.language_model.layers.14.self_attn.k_proj",
"model.language_model.layers.14.self_attn.o_proj",
"model.language_model.layers.14.self_attn.q_proj",
"model.language_model.layers.14.self_attn.v_proj",
"model.language_model.layers.15.mlp.down_proj",
"model.language_model.layers.15.mlp.gate_proj",
"model.language_model.layers.15.mlp.up_proj",
"model.language_model.layers.15.self_attn.k_proj",
"model.language_model.layers.15.self_attn.o_proj",
"model.language_model.layers.15.self_attn.q_proj",
"model.language_model.layers.15.self_attn.v_proj",
"model.language_model.layers.16.mlp.down_proj",
"model.language_model.layers.16.mlp.gate_proj",
"model.language_model.layers.16.mlp.up_proj",
"model.language_model.layers.16.self_attn.k_proj",
"model.language_model.layers.16.self_attn.o_proj",
"model.language_model.layers.16.self_attn.q_proj",
"model.language_model.layers.16.self_attn.v_proj",
"model.language_model.layers.17.mlp.down_proj",
"model.language_model.layers.17.mlp.gate_proj",
"model.language_model.layers.17.mlp.up_proj",
"model.language_model.layers.17.self_attn.k_proj",
"model.language_model.layers.17.self_attn.o_proj",
"model.language_model.layers.17.self_attn.q_proj",
"model.language_model.layers.18.mlp.down_proj",
"model.language_model.layers.18.mlp.gate_proj",
"model.language_model.layers.18.mlp.up_proj",
"model.language_model.layers.18.self_attn.k_proj",
"model.language_model.layers.18.self_attn.o_proj",
"model.language_model.layers.18.self_attn.q_proj",
"model.language_model.layers.18.self_attn.v_proj",
"model.language_model.layers.19.mlp.down_proj",
"model.language_model.layers.19.mlp.gate_proj",
"model.language_model.layers.19.mlp.up_proj",
"model.language_model.layers.19.self_attn.k_proj",
"model.language_model.layers.19.self_attn.o_proj",
"model.language_model.layers.19.self_attn.q_proj",
"model.language_model.layers.19.self_attn.v_proj",
"model.language_model.layers.2.mlp.down_proj",
"model.language_model.layers.2.mlp.gate_proj",
"model.language_model.layers.2.mlp.up_proj",
"model.language_model.layers.2.self_attn.k_proj",
"model.language_model.layers.2.self_attn.o_proj",
"model.language_model.layers.2.self_attn.q_proj",
"model.language_model.layers.2.self_attn.v_proj",
"model.language_model.layers.20.mlp.down_proj",
"model.language_model.layers.20.mlp.gate_proj",
"model.language_model.layers.20.mlp.up_proj",
"model.language_model.layers.20.self_attn.k_proj",
"model.language_model.layers.20.self_attn.o_proj",
"model.language_model.layers.20.self_attn.q_proj",
"model.language_model.layers.20.self_attn.v_proj",
"model.language_model.layers.21.mlp.down_proj",
"model.language_model.layers.21.mlp.gate_proj",
"model.language_model.layers.21.mlp.up_proj",
"model.language_model.layers.21.self_attn.k_proj",
"model.language_model.layers.21.self_attn.o_proj",
"model.language_model.layers.21.self_attn.q_proj",
"model.language_model.layers.21.self_attn.v_proj",
"model.language_model.layers.22.mlp.down_proj",
"model.language_model.layers.22.mlp.gate_proj",
"model.language_model.layers.22.mlp.up_proj",
"model.language_model.layers.22.self_attn.k_proj",
"model.language_model.layers.22.self_attn.o_proj",
"model.language_model.layers.22.self_attn.q_proj",
"model.language_model.layers.22.self_attn.v_proj",
"model.language_model.layers.23.mlp.down_proj",
"model.language_model.layers.23.mlp.gate_proj",
"model.language_model.layers.23.mlp.up_proj",
"model.language_model.layers.23.self_attn.k_proj",
"model.language_model.layers.23.self_attn.o_proj",
"model.language_model.layers.23.self_attn.q_proj",
"model.language_model.layers.24.mlp.down_proj",
"model.language_model.layers.24.mlp.gate_proj",
"model.language_model.layers.24.mlp.up_proj",
"model.language_model.layers.24.self_attn.k_proj",
"model.language_model.layers.24.self_attn.o_proj",
"model.language_model.layers.24.self_attn.q_proj",
"model.language_model.layers.24.self_attn.v_proj",
"model.language_model.layers.25.mlp.down_proj",
"model.language_model.layers.25.mlp.gate_proj",
"model.language_model.layers.25.mlp.up_proj",
"model.language_model.layers.25.self_attn.k_proj",
"model.language_model.layers.25.self_attn.o_proj",
"model.language_model.layers.25.self_attn.q_proj",
"model.language_model.layers.25.self_attn.v_proj",
"model.language_model.layers.26.mlp.down_proj",
"model.language_model.layers.26.mlp.gate_proj",
"model.language_model.layers.26.mlp.up_proj",
"model.language_model.layers.26.self_attn.k_proj",
"model.language_model.layers.26.self_attn.o_proj",
"model.language_model.layers.26.self_attn.q_proj",
"model.language_model.layers.26.self_attn.v_proj",
"model.language_model.layers.27.mlp.down_proj",
"model.language_model.layers.27.mlp.gate_proj",
"model.language_model.layers.27.mlp.up_proj",
"model.language_model.layers.27.self_attn.k_proj",
"model.language_model.layers.27.self_attn.o_proj",
"model.language_model.layers.27.self_attn.q_proj",
"model.language_model.layers.27.self_attn.v_proj",
"model.language_model.layers.28.mlp.down_proj",
"model.language_model.layers.28.mlp.gate_proj",
"model.language_model.layers.28.mlp.up_proj",
"model.language_model.layers.28.self_attn.k_proj",
"model.language_model.layers.28.self_attn.o_proj",
"model.language_model.layers.28.self_attn.q_proj",
"model.language_model.layers.28.self_attn.v_proj",
"model.language_model.layers.29.mlp.down_proj",
"model.language_model.layers.29.mlp.gate_proj",
"model.language_model.layers.29.mlp.up_proj",
"model.language_model.layers.29.self_attn.k_proj",
"model.language_model.layers.29.self_attn.o_proj",
"model.language_model.layers.29.self_attn.q_proj",
"model.language_model.layers.3.mlp.down_proj",
"model.language_model.layers.3.mlp.gate_proj",
"model.language_model.layers.3.mlp.up_proj",
"model.language_model.layers.3.self_attn.k_proj",
"model.language_model.layers.3.self_attn.o_proj",
"model.language_model.layers.3.self_attn.q_proj",
"model.language_model.layers.3.self_attn.v_proj",
"model.language_model.layers.30.mlp.down_proj",
"model.language_model.layers.30.mlp.gate_proj",
"model.language_model.layers.30.mlp.up_proj",
"model.language_model.layers.30.self_attn.k_proj",
"model.language_model.layers.30.self_attn.o_proj",
"model.language_model.layers.30.self_attn.q_proj",
"model.language_model.layers.30.self_attn.v_proj",
"model.language_model.layers.31.mlp.down_proj",
"model.language_model.layers.31.mlp.gate_proj",
"model.language_model.layers.31.mlp.up_proj",
"model.language_model.layers.31.self_attn.k_proj",
"model.language_model.layers.31.self_attn.o_proj",
"model.language_model.layers.31.self_attn.q_proj",
"model.language_model.layers.31.self_attn.v_proj",
"model.language_model.layers.32.mlp.down_proj",
"model.language_model.layers.32.mlp.gate_proj",
"model.language_model.layers.32.mlp.up_proj",
"model.language_model.layers.32.self_attn.k_proj",
"model.language_model.layers.32.self_attn.o_proj",
"model.language_model.layers.32.self_attn.q_proj",
"model.language_model.layers.32.self_attn.v_proj",
"model.language_model.layers.33.mlp.down_proj",
"model.language_model.layers.33.mlp.gate_proj",
"model.language_model.layers.33.mlp.up_proj",
"model.language_model.layers.33.self_attn.k_proj",
"model.language_model.layers.33.self_attn.o_proj",
"model.language_model.layers.33.self_attn.q_proj",
"model.language_model.layers.33.self_attn.v_proj",
"model.language_model.layers.34.mlp.down_proj",
"model.language_model.layers.34.mlp.gate_proj",
"model.language_model.layers.34.mlp.up_proj",
"model.language_model.layers.34.self_attn.k_proj",
"model.language_model.layers.34.self_attn.o_proj",
"model.language_model.layers.34.self_attn.q_proj",
"model.language_model.layers.34.self_attn.v_proj",
"model.language_model.layers.35.mlp.down_proj",
"model.language_model.layers.35.mlp.gate_proj",
"model.language_model.layers.35.mlp.up_proj",
"model.language_model.layers.35.self_attn.k_proj",
"model.language_model.layers.35.self_attn.o_proj",
"model.language_model.layers.35.self_attn.q_proj",
"model.language_model.layers.36.mlp.down_proj",
"model.language_model.layers.36.mlp.gate_proj",
"model.language_model.layers.36.mlp.up_proj",
"model.language_model.layers.36.self_attn.k_proj",
"model.language_model.layers.36.self_attn.o_proj",
"model.language_model.layers.36.self_attn.q_proj",
"model.language_model.layers.36.self_attn.v_proj",
"model.language_model.layers.37.mlp.down_proj",
"model.language_model.layers.37.mlp.gate_proj",
"model.language_model.layers.37.mlp.up_proj",
"model.language_model.layers.37.self_attn.k_proj",
"model.language_model.layers.37.self_attn.o_proj",
"model.language_model.layers.37.self_attn.q_proj",
"model.language_model.layers.37.self_attn.v_proj",
"model.language_model.layers.38.mlp.down_proj",
"model.language_model.layers.38.mlp.gate_proj",
"model.language_model.layers.38.mlp.up_proj",
"model.language_model.layers.38.self_attn.k_proj",
"model.language_model.layers.38.self_attn.o_proj",
"model.language_model.layers.38.self_attn.q_proj",
"model.language_model.layers.38.self_attn.v_proj",
"model.language_model.layers.39.mlp.down_proj",
"model.language_model.layers.39.mlp.gate_proj",
"model.language_model.layers.39.mlp.up_proj",
"model.language_model.layers.39.self_attn.k_proj",
"model.language_model.layers.39.self_attn.o_proj",
"model.language_model.layers.39.self_attn.q_proj",
"model.language_model.layers.39.self_attn.v_proj",
"model.language_model.layers.4.mlp.down_proj",
"model.language_model.layers.4.mlp.gate_proj",
"model.language_model.layers.4.mlp.up_proj",
"model.language_model.layers.4.self_attn.k_proj",
"model.language_model.layers.4.self_attn.o_proj",
"model.language_model.layers.4.self_attn.q_proj",
"model.language_model.layers.4.self_attn.v_proj",
"model.language_model.layers.40.mlp.down_proj",
"model.language_model.layers.40.mlp.gate_proj",
"model.language_model.layers.40.mlp.up_proj",
"model.language_model.layers.40.self_attn.k_proj",
"model.language_model.layers.40.self_attn.o_proj",
"model.language_model.layers.40.self_attn.q_proj",
"model.language_model.layers.40.self_attn.v_proj",
"model.language_model.layers.41.mlp.down_proj",
"model.language_model.layers.41.mlp.gate_proj",
"model.language_model.layers.41.mlp.up_proj",
"model.language_model.layers.41.self_attn.k_proj",
"model.language_model.layers.41.self_attn.o_proj",
"model.language_model.layers.41.self_attn.q_proj",
"model.language_model.layers.42.mlp.down_proj",
"model.language_model.layers.42.mlp.gate_proj",
"model.language_model.layers.42.mlp.up_proj",
"model.language_model.layers.42.self_attn.k_proj",
"model.language_model.layers.42.self_attn.o_proj",
"model.language_model.layers.42.self_attn.q_proj",
"model.language_model.layers.42.self_attn.v_proj",
"model.language_model.layers.43.mlp.down_proj",
"model.language_model.layers.43.mlp.gate_proj",
"model.language_model.layers.43.mlp.up_proj",
"model.language_model.layers.43.self_attn.k_proj",
"model.language_model.layers.43.self_attn.o_proj",
"model.language_model.layers.43.self_attn.q_proj",
"model.language_model.layers.43.self_attn.v_proj",
"model.language_model.layers.44.mlp.down_proj",
"model.language_model.layers.44.mlp.gate_proj",
"model.language_model.layers.44.mlp.up_proj",
"model.language_model.layers.44.self_attn.k_proj",
"model.language_model.layers.44.self_attn.o_proj",
"model.language_model.layers.44.self_attn.q_proj",
"model.language_model.layers.44.self_attn.v_proj",
"model.language_model.layers.45.mlp.down_proj",
"model.language_model.layers.45.mlp.gate_proj",
"model.language_model.layers.45.mlp.up_proj",
"model.language_model.layers.45.self_attn.k_proj",
"model.language_model.layers.45.self_attn.o_proj",
"model.language_model.layers.45.self_attn.q_proj",
"model.language_model.layers.45.self_attn.v_proj",
"model.language_model.layers.46.mlp.down_proj",
"model.language_model.layers.46.mlp.gate_proj",
"model.language_model.layers.46.mlp.up_proj",
"model.language_model.layers.46.self_attn.k_proj",
"model.language_model.layers.46.self_attn.o_proj",
"model.language_model.layers.46.self_attn.q_proj",
"model.language_model.layers.46.self_attn.v_proj",
"model.language_model.layers.47.mlp.down_proj",
"model.language_model.layers.47.mlp.gate_proj",
"model.language_model.layers.47.mlp.up_proj",
"model.language_model.layers.47.self_attn.k_proj",
"model.language_model.layers.47.self_attn.o_proj",
"model.language_model.layers.47.self_attn.q_proj",
"model.language_model.layers.48.mlp.down_proj",
"model.language_model.layers.48.mlp.gate_proj",
"model.language_model.layers.48.mlp.up_proj",
"model.language_model.layers.48.self_attn.k_proj",
"model.language_model.layers.48.self_attn.o_proj",
"model.language_model.layers.48.self_attn.q_proj",
"model.language_model.layers.48.self_attn.v_proj",
"model.language_model.layers.49.mlp.down_proj",
"model.language_model.layers.49.mlp.gate_proj",
"model.language_model.layers.49.mlp.up_proj",
"model.language_model.layers.49.self_attn.k_proj",
"model.language_model.layers.49.self_attn.o_proj",
"model.language_model.layers.49.self_attn.q_proj",
"model.language_model.layers.49.self_attn.v_proj",
"model.language_model.layers.5.mlp.down_proj",
"model.language_model.layers.5.mlp.gate_proj",
"model.language_model.layers.5.mlp.up_proj",
"model.language_model.layers.5.self_attn.k_proj",
"model.language_model.layers.5.self_attn.o_proj",
"model.language_model.layers.5.self_attn.q_proj",
"model.language_model.layers.50.mlp.down_proj",
"model.language_model.layers.50.mlp.gate_proj",
"model.language_model.layers.50.mlp.up_proj",
"model.language_model.layers.50.self_attn.k_proj",
"model.language_model.layers.50.self_attn.o_proj",
"model.language_model.layers.50.self_attn.q_proj",
"model.language_model.layers.50.self_attn.v_proj",
"model.language_model.layers.51.mlp.down_proj",
"model.language_model.layers.51.mlp.gate_proj",
"model.language_model.layers.51.mlp.up_proj",
"model.language_model.layers.51.self_attn.k_proj",
"model.language_model.layers.51.self_attn.o_proj",
"model.language_model.layers.51.self_attn.q_proj",
"model.language_model.layers.51.self_attn.v_proj",
"model.language_model.layers.52.mlp.down_proj",
"model.language_model.layers.52.mlp.gate_proj",
"model.language_model.layers.52.mlp.up_proj",
"model.language_model.layers.52.self_attn.k_proj",
"model.language_model.layers.52.self_attn.o_proj",
"model.language_model.layers.52.self_attn.q_proj",
"model.language_model.layers.52.self_attn.v_proj",
"model.language_model.layers.53.mlp.down_proj",
"model.language_model.layers.53.mlp.gate_proj",
"model.language_model.layers.53.mlp.up_proj",
"model.language_model.layers.53.self_attn.k_proj",
"model.language_model.layers.53.self_attn.o_proj",
"model.language_model.layers.53.self_attn.q_proj",
"model.language_model.layers.54.mlp.down_proj",
"model.language_model.layers.54.mlp.gate_proj",
"model.language_model.layers.54.mlp.up_proj",
"model.language_model.layers.54.self_attn.k_proj",
"model.language_model.layers.54.self_attn.o_proj",
"model.language_model.layers.54.self_attn.q_proj",
"model.language_model.layers.54.self_attn.v_proj",
"model.language_model.layers.55.mlp.down_proj",
"model.language_model.layers.55.mlp.gate_proj",
"model.language_model.layers.55.mlp.up_proj",
"model.language_model.layers.55.self_attn.k_proj",
"model.language_model.layers.55.self_attn.o_proj",
"model.language_model.layers.55.self_attn.q_proj",
"model.language_model.layers.55.self_attn.v_proj",
"model.language_model.layers.56.mlp.down_proj",
"model.language_model.layers.56.mlp.gate_proj",
"model.language_model.layers.56.mlp.up_proj",
"model.language_model.layers.56.self_attn.k_proj",
"model.language_model.layers.56.self_attn.o_proj",
"model.language_model.layers.56.self_attn.q_proj",
"model.language_model.layers.56.self_attn.v_proj",
"model.language_model.layers.57.mlp.down_proj",
"model.language_model.layers.57.mlp.gate_proj",
"model.language_model.layers.57.mlp.up_proj",
"model.language_model.layers.57.self_attn.k_proj",
"model.language_model.layers.57.self_attn.o_proj",
"model.language_model.layers.57.self_attn.q_proj",
"model.language_model.layers.57.self_attn.v_proj",
"model.language_model.layers.58.mlp.down_proj",
"model.language_model.layers.58.mlp.gate_proj",
"model.language_model.layers.58.mlp.up_proj",
"model.language_model.layers.58.self_attn.k_proj",
"model.language_model.layers.58.self_attn.o_proj",
"model.language_model.layers.58.self_attn.q_proj",
"model.language_model.layers.58.self_attn.v_proj",
"model.language_model.layers.59.mlp.down_proj",
"model.language_model.layers.59.mlp.gate_proj",
"model.language_model.layers.59.mlp.up_proj",
"model.language_model.layers.59.self_attn.k_proj",
"model.language_model.layers.59.self_attn.o_proj",
"model.language_model.layers.59.self_attn.q_proj",
"model.language_model.layers.6.mlp.down_proj",
"model.language_model.layers.6.mlp.gate_proj",
"model.language_model.layers.6.mlp.up_proj",
"model.language_model.layers.6.self_attn.k_proj",
"model.language_model.layers.6.self_attn.o_proj",
"model.language_model.layers.6.self_attn.q_proj",
"model.language_model.layers.6.self_attn.v_proj",
"model.language_model.layers.7.mlp.down_proj",
"model.language_model.layers.7.mlp.gate_proj",
"model.language_model.layers.7.mlp.up_proj",
"model.language_model.layers.7.self_attn.k_proj",
"model.language_model.layers.7.self_attn.o_proj",
"model.language_model.layers.7.self_attn.q_proj",
"model.language_model.layers.7.self_attn.v_proj",
"model.language_model.layers.8.mlp.down_proj",
"model.language_model.layers.8.mlp.gate_proj",
"model.language_model.layers.8.mlp.up_proj",
"model.language_model.layers.8.self_attn.k_proj",
"model.language_model.layers.8.self_attn.o_proj",
"model.language_model.layers.8.self_attn.q_proj",
"model.language_model.layers.8.self_attn.v_proj",
"model.language_model.layers.9.mlp.down_proj",
"model.language_model.layers.9.mlp.gate_proj",
"model.language_model.layers.9.mlp.up_proj",
"model.language_model.layers.9.self_attn.k_proj",
"model.language_model.layers.9.self_attn.o_proj",
"model.language_model.layers.9.self_attn.q_proj",
"model.language_model.layers.9.self_attn.v_proj",
"model.vision_tower.encoder.layers.0.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.0.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.0.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.0.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.0.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.0.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.0.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.1.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.1.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.1.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.1.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.1.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.1.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.1.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.10.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.10.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.10.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.10.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.10.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.10.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.10.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.11.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.11.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.11.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.11.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.11.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.11.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.11.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.12.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.12.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.12.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.12.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.12.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.12.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.12.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.13.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.13.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.13.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.13.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.13.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.13.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.13.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.14.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.14.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.14.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.14.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.14.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.14.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.14.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.15.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.15.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.15.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.15.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.15.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.15.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.15.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.16.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.16.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.16.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.16.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.16.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.16.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.16.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.17.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.17.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.17.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.17.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.17.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.17.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.17.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.18.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.18.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.18.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.18.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.18.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.18.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.18.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.19.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.19.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.19.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.19.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.19.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.19.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.19.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.2.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.2.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.2.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.2.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.2.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.2.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.2.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.20.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.20.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.20.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.20.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.20.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.20.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.20.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.21.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.21.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.21.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.21.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.21.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.21.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.21.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.22.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.22.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.22.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.22.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.22.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.22.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.22.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.23.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.23.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.23.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.23.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.23.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.23.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.23.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.24.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.24.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.24.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.24.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.24.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.24.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.24.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.25.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.25.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.25.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.25.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.25.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.25.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.25.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.26.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.26.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.26.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.26.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.26.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.26.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.26.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.3.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.3.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.3.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.3.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.3.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.3.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.3.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.4.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.4.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.4.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.4.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.4.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.4.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.4.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.5.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.5.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.5.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.5.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.5.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.5.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.5.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.6.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.6.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.6.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.6.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.6.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.6.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.6.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.7.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.7.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.7.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.7.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.7.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.7.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.7.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.8.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.8.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.8.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.8.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.8.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.8.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.8.self_attn.v_proj.linear",
"model.vision_tower.encoder.layers.9.mlp.down_proj.linear",
"model.vision_tower.encoder.layers.9.mlp.gate_proj.linear",
"model.vision_tower.encoder.layers.9.mlp.up_proj.linear",
"model.vision_tower.encoder.layers.9.self_attn.k_proj.linear",
"model.vision_tower.encoder.layers.9.self_attn.o_proj.linear",
"model.vision_tower.encoder.layers.9.self_attn.q_proj.linear",
"model.vision_tower.encoder.layers.9.self_attn.v_proj.linear",
"model.vision_tower.patch_embedder.input_proj"
]
},
"group_1": {
"weights": {
"dynamic": false,
"num_bits": 4,
"type": "float",
"group_size": 16
},
"targets": [
"lm_head"
]
}
},
"quantized_layers": {
"model.vision_tower.patch_embedder.input_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.0.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.0.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.0.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.0.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.0.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.0.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.0.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.1.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.1.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.1.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.1.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.1.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.1.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.1.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.2.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.2.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.2.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.2.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.2.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.2.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.2.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.3.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.3.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.3.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.3.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.3.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.3.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.3.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.4.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.4.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.4.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.4.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.4.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.4.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.4.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.5.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.5.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.5.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.5.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.5.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.5.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.5.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.6.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.6.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.6.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.6.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.6.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.6.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.6.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.7.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.7.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.7.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.7.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.7.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.7.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.7.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.8.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.8.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.8.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.8.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.8.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.8.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.8.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.9.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.9.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.9.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.9.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.9.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.9.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.9.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.10.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.10.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.10.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.10.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.10.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.10.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.10.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.11.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.11.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.11.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.11.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.11.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.11.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.11.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.12.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.12.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.12.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.12.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.12.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.12.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.12.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.13.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.13.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.13.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.13.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.13.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.13.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.13.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.14.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.14.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.14.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.14.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.14.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.14.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.14.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.15.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.15.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.15.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.15.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.15.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.15.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.15.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.16.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.16.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.16.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.16.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.16.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.16.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.16.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.17.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.17.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.17.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.17.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.17.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.17.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.17.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.18.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.18.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.18.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.18.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.18.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.18.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.18.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.19.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.19.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.19.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.19.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.19.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.19.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.19.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.20.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.20.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.20.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.20.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.20.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.20.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.20.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.21.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.21.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.21.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.21.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.21.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.21.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.21.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.22.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.22.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.22.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.22.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.22.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.22.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.22.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.23.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.23.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.23.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.23.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.23.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.23.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.23.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.24.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.24.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.24.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.24.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.24.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.24.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.24.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.25.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.25.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.25.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.25.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.25.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.25.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.25.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.26.self_attn.q_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.26.self_attn.k_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.26.self_attn.v_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.26.self_attn.o_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.26.mlp.gate_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.26.mlp.up_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.vision_tower.encoder.layers.26.mlp.down_proj.linear": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.0.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.0.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.0.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.0.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.0.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.0.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.0.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.1.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.1.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.1.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.1.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.1.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.1.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.1.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.2.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.2.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.2.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.2.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.2.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.2.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.2.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.3.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.3.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.3.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.3.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.3.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.3.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.3.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.4.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.4.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.4.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.4.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.4.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.4.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.4.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.5.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.5.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.5.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.5.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.5.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.5.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.6.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.6.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.6.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.6.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.6.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.6.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.6.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.7.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.7.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.7.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.7.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.7.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.7.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.7.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.8.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.8.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.8.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.8.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.8.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.8.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.8.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.9.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.9.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.9.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.9.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.9.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.9.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.9.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.10.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.10.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.10.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.10.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.10.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.10.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.10.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.11.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.11.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.11.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.11.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.11.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.11.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.12.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.12.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.12.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.12.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.12.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.12.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.12.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.13.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.13.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.13.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.13.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.13.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.13.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.13.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.14.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.14.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.14.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.14.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.14.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.14.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.14.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.15.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.15.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.15.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.15.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.15.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.15.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.15.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.16.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.16.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.16.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.16.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.16.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.16.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.16.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.17.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.17.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.17.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.17.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.17.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.17.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.18.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.18.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.18.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.18.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.18.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.18.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.18.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.19.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.19.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.19.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.19.self_attn.o_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.19.mlp.gate_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.19.mlp.up_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.19.mlp.down_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.20.self_attn.q_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.20.self_attn.k_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.20.self_attn.v_proj": {
"quant_algo": "NVFP4",
"group_size": 16
},
"model.language_model.layers.20.self_attn.o_p