Download quantization_config.json from intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-Tuning-AutoRound: direct link, hf CLI and curl.
- Browser
- Download file 409 kB
-
https://huggingface.co/intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-Tuning-AutoRound/resolve/main/quantization_config.json
- Command line
-
hf download hf://intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-Tuning-AutoRound/quantization_config.json
-
curl -L -o quantization_config.json https://huggingface.co/intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-Tuning-AutoRound/resolve/main/quantization_config.json
409 kB
| { | |
| "bits": 8, | |
| "act_bits": 8, | |
| "data_type": "mx_fp", | |
| "act_data_type": "mx_fp", | |
| "group_size": 32, | |
| "act_group_size": 32, | |
| "sym": true, | |
| "act_sym": true, | |
| "act_dynamic": true, | |
| "enable_quanted_input": false, | |
| "iters": 50, | |
| "static_attention_granularity": "tensor", | |
| "static_kv_granularity": "tensor", | |
| "autoround_version": "0.16.0", | |
| "block_name_to_quantize": [ | |
| "model.layers.0", | |
| "model.layers.1", | |
| "model.layers.2", | |
| "model.layers.3", | |
| "model.layers.4", | |
| "model.layers.5", | |
| "model.layers.6", | |
| "model.layers.7", | |
| "model.layers.8", | |
| "model.layers.9", | |
| "model.layers.10", | |
| "model.layers.11", | |
| "model.layers.12", | |
| "model.layers.13", | |
| "model.layers.14", | |
| "model.layers.15", | |
| "model.layers.16", | |
| "model.layers.17", | |
| "model.layers.18", | |
| "model.layers.19", | |
| "model.layers.20", | |
| "model.layers.21", | |
| "model.layers.22", | |
| "model.layers.23", | |
| "model.layers.24", | |
| "model.layers.25", | |
| "model.layers.26", | |
| "model.layers.27", | |
| "model.layers.28", | |
| "model.layers.29", | |
| "model.layers.30", | |
| "model.layers.31" | |
| ], | |
| "quant_method": "auto-round", | |
| "packing_format": "auto_round:llm_compressor", | |
| "extra_config": { | |
| "model.layers.0.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.1.mlp.gate.wg": { | |
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| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.2.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.3.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.4.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.5.mlp.gate.wg": { | |
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| "data_type": "float", | |
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| "act_data_type": "float" | |
| }, | |
| "model.layers.6.mlp.gate.wg": { | |
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| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.7.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.8.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.9.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
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| "act_data_type": "float" | |
| }, | |
| "model.layers.10.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.11.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.12.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.13.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.14.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.15.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.16.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.17.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.18.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.19.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
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| "act_data_type": "float" | |
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| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.21.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.22.mlp.gate.wg": { | |
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| "act_data_type": "float" | |
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| "model.layers.23.mlp.gate.wg": { | |
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| "data_type": "float", | |
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| "act_data_type": "float" | |
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| "model.layers.24.mlp.gate.wg": { | |
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| "model.layers.25.mlp.gate.wg": { | |
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| "data_type": "float", | |
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| "act_data_type": "float" | |
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| "model.layers.26.mlp.gate.wg": { | |
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| "act_data_type": "float" | |
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| "model.layers.27.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.28.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.29.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
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| "model.layers.30.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.31.mlp.gate.wg": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "model.layers.0.mlp.experts.0.gate_and_up_proj": { | |
| "bits": 4, | |
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| }, | |
| "model.layers.0.mlp.experts.0.down_proj": { | |
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