Download config.json from nvidia/GLM-5.3-Flash-FP4-Local: direct link, hf CLI and curl.
- Browser
- Download file 83.9 kB
-
https://huggingface.co/nvidia/GLM-5.3-Flash-FP4-Local/resolve/main/config.json
- Command line
-
hf download hf://nvidia/GLM-5.3-Flash-FP4-Local/config.json
-
curl -L -o config.json https://huggingface.co/nvidia/GLM-5.3-Flash-FP4-Local/resolve/main/config.json
83.9 kB
| { | |
| "architectures": [ | |
| "Glm5NextForConditionalGeneration" | |
| ], | |
| "image_end_token_id": 154831, | |
| "image_start_token_id": 154830, | |
| "image_token_id": 154854, | |
| "model_type": "glm5_next", | |
| "quantization_config": { | |
| "exclude_modules": [], | |
| "quant_algo": "MIXED_PRECISION", | |
| "quant_method": "modelopt", | |
| "quantized_layers": { | |
| "lm_head": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.0.mlp.down_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.0.mlp.gate_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.0.mlp.up_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.0.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.0.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.0.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.0.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.1.mlp.down_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.1.mlp.gate_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.1.mlp.up_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.1.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.1.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.1.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.1.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.10.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.10.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.10.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.10.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.10.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.10.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.10.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.10.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.11.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.11.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.11.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.11.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.11.self_attn.kv_a_proj_with_mqa": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.11.self_attn.o_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.11.self_attn.q_a_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.11.self_attn.q_b_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.12.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.12.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.12.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.12.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.12.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.12.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.12.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.12.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.13.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.13.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.13.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.13.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.13.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.13.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.13.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.13.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.14.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.14.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.14.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.14.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.14.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.14.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.14.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.14.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.15.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.15.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.15.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.15.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.15.self_attn.kv_a_proj_with_mqa": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.15.self_attn.o_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.15.self_attn.q_a_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.15.self_attn.q_b_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.16.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.16.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.16.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.16.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.16.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.16.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.16.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.16.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.17.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.17.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.17.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.17.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.17.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.17.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.17.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.17.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.18.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.18.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.18.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.18.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.18.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.18.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.18.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.18.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.19.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.19.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.19.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.19.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.19.self_attn.kv_a_proj_with_mqa": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.19.self_attn.o_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.19.self_attn.q_a_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.19.self_attn.q_b_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.2.mlp.down_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.2.mlp.gate_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.2.mlp.up_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.2.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.2.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.2.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.2.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.20.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.20.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.20.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.20.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.20.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.20.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.20.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.20.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.21.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.21.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.21.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.21.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.21.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.21.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.21.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.21.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.22.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.22.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.22.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.22.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.22.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.22.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.22.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.22.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.23.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.23.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.23.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.23.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.23.self_attn.kv_a_proj_with_mqa": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.23.self_attn.o_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.23.self_attn.q_a_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.23.self_attn.q_b_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.24.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.24.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.24.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.24.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.24.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.24.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.24.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.24.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.25.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.25.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.25.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.25.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.25.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.25.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.25.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.25.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.26.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.26.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.26.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.26.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.26.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.26.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.26.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.26.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.27.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.27.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.27.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.27.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.27.self_attn.kv_a_proj_with_mqa": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.27.self_attn.o_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.27.self_attn.q_a_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.27.self_attn.q_b_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.28.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.28.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.28.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.28.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.28.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.28.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.28.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.28.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.29.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.29.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.29.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.29.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.29.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.29.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.29.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.29.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.3.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.3.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.3.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.3.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.3.self_attn.kv_a_proj_with_mqa": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.3.self_attn.o_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.3.self_attn.q_a_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.3.self_attn.q_b_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.30.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.30.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.30.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.30.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.30.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.30.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.30.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.30.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.31.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.31.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.31.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.31.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.31.self_attn.kv_a_proj_with_mqa": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.31.self_attn.o_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.31.self_attn.q_a_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.31.self_attn.q_b_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.32.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.32.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.32.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.32.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.32.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.32.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.32.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.32.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.33.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.33.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.33.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.33.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.33.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.33.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.33.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.33.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.34.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.34.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.34.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.34.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.34.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.34.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.34.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.34.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.35.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.35.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.35.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.35.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.35.self_attn.kv_a_proj_with_mqa": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.35.self_attn.o_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.35.self_attn.q_a_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.35.self_attn.q_b_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.36.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.36.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.36.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.36.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.36.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.36.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.36.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.36.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.37.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.37.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.37.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.37.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.37.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.37.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.37.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.37.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.38.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.38.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.38.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.38.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.38.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.38.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.38.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.38.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.39.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.39.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.39.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.39.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.39.self_attn.kv_a_proj_with_mqa": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.39.self_attn.o_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.39.self_attn.q_a_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.39.self_attn.q_b_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.4.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.4.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.4.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.4.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.4.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.4.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.4.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.4.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.40.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.40.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.40.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.40.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.40.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.40.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.40.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.40.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.41.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.41.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.41.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.41.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.41.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.41.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.41.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.41.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.42.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.42.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.42.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.42.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.42.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.42.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.42.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.42.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.43.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.43.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.43.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.43.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.43.self_attn.kv_a_proj_with_mqa": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.43.self_attn.o_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.43.self_attn.q_a_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.43.self_attn.q_b_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.44.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.44.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.44.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.44.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.44.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.44.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.44.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.44.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.45.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.language_model.layers.45.mlp.shared_experts.down_proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.language_model.layers.45.mlp.shared_experts.gate_proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.language_model.layers.45.mlp.shared_experts.up_proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.language_model.layers.45.self_attn.indexer.weights_proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.language_model.layers.45.self_attn.indexer.wk": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.language_model.layers.45.self_attn.indexer.wq_b": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.language_model.layers.45.self_attn.kv_a_proj_with_mqa": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.language_model.layers.45.self_attn.kv_b_proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.language_model.layers.45.self_attn.o_proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.language_model.layers.45.self_attn.q_a_proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.language_model.layers.45.self_attn.q_b_proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.language_model.layers.5.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.5.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.5.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.5.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.5.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.5.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.5.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.5.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.6.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.6.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.6.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.6.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.6.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.6.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.6.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.6.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.7.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.7.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.7.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.7.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.7.self_attn.kv_a_proj_with_mqa": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.7.self_attn.o_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.7.self_attn.q_a_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.7.self_attn.q_b_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.8.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.8.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.8.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.8.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.8.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.8.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.8.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.8.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.9.mlp.experts": { | |
| "group_size": 16, | |
| "quant_algo": "NVFP4", | |
| "weight_scale_encoding": "csf_32x2_v1" | |
| }, | |
| "model.language_model.layers.9.mlp.shared_experts.down_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.9.mlp.shared_experts.gate_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.9.mlp.shared_experts.up_proj": { | |
| "quant_algo": "FP8_PB_WO", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ] | |
| }, | |
| "model.language_model.layers.9.self_attn.k_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.9.self_attn.o_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.9.self_attn.q_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.language_model.layers.9.self_attn.v_proj": { | |
| "quant_algo": "MXFP8", | |
| "weight_block_size": [ | |
| 1, | |
| 32 | |
| ] | |
| }, | |
| "model.visual.blocks.0.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.0.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.0.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.0.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.0.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.1.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.1.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.1.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.1.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.1.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.10.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.10.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.10.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.10.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.10.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.11.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.11.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.11.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.11.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.11.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.12.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.12.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.12.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.12.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.12.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.13.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.13.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.13.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.13.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.13.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.14.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.14.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.14.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.14.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.14.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.15.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.15.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.15.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.15.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.15.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.16.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.16.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.16.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.16.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.16.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.17.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.17.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.17.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.17.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.17.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.18.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.18.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.18.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.18.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.18.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.19.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.19.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.19.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.19.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.19.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.2.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.2.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.2.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.2.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.2.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.20.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.20.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.20.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.20.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.20.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.21.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.21.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.21.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.21.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.21.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.22.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.22.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.22.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.22.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.22.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.23.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.23.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.23.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.23.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.23.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.3.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.3.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.3.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.3.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.3.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.4.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.4.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.4.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.4.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.4.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.5.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.5.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.5.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.5.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.5.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.6.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.6.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.6.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.6.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.6.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.7.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.7.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.7.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.7.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.7.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.8.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.8.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.8.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.8.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.8.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.9.attn.proj": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.9.attn.qkv": { | |
| "group_size": 32, | |
| "quant_algo": "MXFP8" | |
| }, | |
| "model.visual.blocks.9.mlp.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.9.mlp.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.blocks.9.mlp.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.merger.down_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.merger.gate_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.merger.proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| }, | |
| "model.visual.merger.up_proj": { | |
| "group_size": 16, | |
| "quant_algo": "W4A16_NVFP4" | |
| } | |
| } | |
| }, | |
| "text_config": { | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "dtype": "bfloat16", | |
| "eos_token_id": [ | |
| 154820, | |
| 154827, | |
| 154829 | |
| ], | |
| "first_k_dense_replace": 3, | |
| "hc_eps": 1e-06, | |
| "hc_mult": 4, | |
| "hc_sinkhorn_iters": 20, | |
| "head_dim": 0, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "index_head_dim": 128, | |
| "index_kpool": 4, | |
| "index_kpool_always_select_tail": true, | |
| "index_kpool_compress": true, | |
| "index_n_heads": 32, | |
| "index_share_for_mtp_iteration": true, | |
| "index_topk": 2048, | |
| "indexer_rope_interleave": true, | |
| "indexer_types": [ | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full" | |
| ], | |
| "initializer_range": 0.02, | |
| "intermediate_size": 12288, | |
| "kv_lora_rank": 512, | |
| "layer_types": [ | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention" | |
| ], | |
| "linear_attn_config": { | |
| "full_attn_layers": [ | |
| 3, | |
| 7, | |
| 11, | |
| 15, | |
| 19, | |
| 23, | |
| 27, | |
| 31, | |
| 35, | |
| 39, | |
| 43 | |
| ], | |
| "gate_lower_bound": -5.0, | |
| "head_dim": 128, | |
| "kda_layers": [ | |
| 0, | |
| 1, | |
| 2, | |
| 4, | |
| 5, | |
| 6, | |
| 8, | |
| 9, | |
| 10, | |
| 12, | |
| 13, | |
| 14, | |
| 16, | |
| 17, | |
| 18, | |
| 20, | |
| 21, | |
| 22, | |
| 24, | |
| 25, | |
| 26, | |
| 28, | |
| 29, | |
| 30, | |
| 32, | |
| 33, | |
| 34, | |
| 36, | |
| 37, | |
| 38, | |
| 40, | |
| 41, | |
| 42, | |
| 44 | |
| ], | |
| "num_heads": 64, | |
| "short_conv_kernel_size": 4 | |
| }, | |
| "max_position_embeddings": 1048576, | |
| "mhc": true, | |
| "mla_use_nope": true, | |
| "mlp_layer_types": [ | |
| "dense", | |
| "dense", | |
| "dense", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse" | |
| ], | |
| "model_type": "glm5_next_text", | |
| "moe_intermediate_size": 2048, | |
| "moe_router_dtype": "float32", | |
| "n_group": 1, | |
| "n_routed_experts": 288, | |
| "n_shared_experts": 1, | |
| "norm_topk_prob": true, | |
| "num_attention_heads": 64, | |
| "num_experts_per_tok": 8, | |
| "num_hidden_layers": 45, | |
| "num_key_value_heads": 64, | |
| "num_nextn_predict_layers": 1, | |
| "output_router_logits": false, | |
| "pad_token_id": 154820, | |
| "q_lora_rank": 1536, | |
| "qk_head_dim": 256, | |
| "qk_nope_head_dim": 256, | |
| "qk_rope_head_dim": 0, | |
| "rms_norm_eps": 1e-05, | |
| "routed_scaling_factor": 2.5, | |
| "router_aux_loss_coef": 0.001, | |
| "scoring_func": "sigmoid", | |
| "swiglu_limit": 10.0, | |
| "tie_word_embeddings": false, | |
| "topk_group": 1, | |
| "topk_method": "noaux_tc", | |
| "use_cache": true, | |
| "v_head_dim": 256, | |
| "vocab_size": 154880 | |
| }, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "5.16.0", | |
| "video_end_token_id": 154833, | |
| "video_start_token_id": 154832, | |
| "video_token_id": 154855, | |
| "vision_config": { | |
| "attention_bias": true, | |
| "attention_dropout": 0.0, | |
| "depth": 24, | |
| "hidden_act": "silu", | |
| "hidden_size": 1024, | |
| "image_size": 448, | |
| "in_channels": 3, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "model_type": "glm5_next_vision", | |
| "num_heads": 16, | |
| "out_hidden_size": 4096, | |
| "patch_size": 14, | |
| "projection_intermediate_size": 10240, | |
| "rms_norm_eps": 1e-05, | |
| "spatial_merge_size": 2, | |
| "swiglu_limit": 10.0, | |
| "temporal_patch_size": 2 | |
| } | |
| } | |