Download recipe.yaml from FabioTrindade/Llama-3.1-70B-Instruct-W4A16KV16-sym-GS-32-QMOD: direct link, hf CLI and curl.
- Browser
- Download file 685 Bytes
-
https://huggingface.co/FabioTrindade/Llama-3.1-70B-Instruct-W4A16KV16-sym-GS-32-QMOD/resolve/main/recipe.yaml
- Command line
-
hf download hf://FabioTrindade/Llama-3.1-70B-Instruct-W4A16KV16-sym-GS-32-QMOD/recipe.yaml
-
curl -L -o recipe.yaml https://huggingface.co/FabioTrindade/Llama-3.1-70B-Instruct-W4A16KV16-sym-GS-32-QMOD/resolve/main/recipe.yaml
685 Bytes
| default_stage: | |
| default_modifiers: | |
| QuantizationModifier: | |
| config_groups: | |
| group_0: | |
| targets: [Linear] | |
| weights: | |
| num_bits: 4 | |
| type: int | |
| symmetric: true | |
| group_size: 32 | |
| strategy: group | |
| block_structure: null | |
| dynamic: false | |
| actorder: weight | |
| scale_dtype: torch.bfloat16 | |
| zp_dtype: null | |
| observer: memoryless_minmax | |
| observer_kwargs: {} | |
| input_activations: null | |
| output_activations: null | |
| format: null | |
| targets: [Linear] | |
| ignore: [lm_head] | |
| bypass_divisibility_checks: false | |