Download quantization_config.json from Intel/Qwen3-Next-80B-A3B-Instruct-int4-AutoRound: direct link, hf CLI and curl.
- Browser
- Download file 9 kB
-
https://huggingface.co/Intel/Qwen3-Next-80B-A3B-Instruct-int4-AutoRound/resolve/321835c795216fdb4eefcb6d661b7a6bd0f6d07c/quantization_config.json
- Command line
-
hf download hf://Intel/Qwen3-Next-80B-A3B-Instruct-int4-AutoRound@321835c795216fdb4eefcb6d661b7a6bd0f6d07c/quantization_config.json
-
curl -L -o quantization_config.json https://huggingface.co/Intel/Qwen3-Next-80B-A3B-Instruct-int4-AutoRound/resolve/321835c795216fdb4eefcb6d661b7a6bd0f6d07c/quantization_config.json
9 kB
| { | |
| "bits": 4, | |
| "data_type": "int", | |
| "group_size": 128, | |
| "sym": true, | |
| "transform_config": {}, | |
| "autoround_version": "0.12.0", | |
| "quant_method": "auto-round", | |
| "packing_format": "auto_round:auto_gptq", | |
| "extra_config": { | |
| "model.layers.0.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.1.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.2.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.3.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.4.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.5.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.6.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.7.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.8.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.9.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.10.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.11.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.12.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.13.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.14.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.15.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.16.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.17.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.18.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.19.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.20.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.21.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.22.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.23.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.24.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.25.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.26.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.27.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.28.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.29.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.30.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.31.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.32.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.33.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.34.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.35.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.36.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.37.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.38.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.39.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.40.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.41.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.42.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.43.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.44.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.45.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.46.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.47.mlp.shared_expert_gate": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.layers.0.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.1.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.2.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.3.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.4.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.5.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.6.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.7.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.8.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.9.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.10.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.11.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.12.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.13.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.14.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.15.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.16.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.17.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.18.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.19.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.20.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.21.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.22.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.23.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.24.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.25.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.26.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.27.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.28.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.29.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.30.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.31.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.32.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.33.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.34.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.35.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.36.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.37.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.38.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.39.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.40.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.41.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.42.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.43.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.44.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.45.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.46.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| }, | |
| "model.layers.47.mlp.gate": { | |
| "bits": 16, | |
| "data_type": "float" | |
| } | |
| } | |
| } |