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refactor torchao qwen module filtering #71

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merged 1 commit into from
Oct 6, 2025
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refactor torchao qwen module filtering #71

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17 changes: 12 additions & 5 deletions hf_torchao_vllm/quantize_hf_model_with_torchao.py
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Original file line number Diff line number Diff line change
Expand Up @@ -73,14 +73,21 @@ def get_quantization_config(args):
expert_fqn_to_config = {}
# TODO(future PR): this is annoying, I should be able to use a regex here
for layer_idx in range(24):
for expert_idx in range(60):
expert_fqn_to_config[f"model.layers.{layer_idx}.mlp.experts.{expert_idx}.gate_proj"] = single_config
expert_fqn_to_config[f"model.layers.{layer_idx}.mlp.experts.{expert_idx}.up_proj"] = single_config
expert_fqn_to_config[f"model.layers.{layer_idx}.mlp.experts.{expert_idx}.down_proj"] = single_config
expert_fqn_to_config[f"model.layers.{layer_idx}.self_attn.q_proj"] = None
expert_fqn_to_config[f"model.layers.{layer_idx}.self_attn.k_proj"] = None
expert_fqn_to_config[f"model.layers.{layer_idx}.self_attn.v_proj"] = None
expert_fqn_to_config[f"model.layers.{layer_idx}.self_attn.o_proj"] = None
expert_fqn_to_config[f"model.layers.{layer_idx}.mlp.gate"] = None
expert_fqn_to_config[f"model.layers.{layer_idx}.mlp.shared_expert.gate_proj"] = None
expert_fqn_to_config[f"model.layers.{layer_idx}.mlp.shared_expert.up_proj"] = None
expert_fqn_to_config[f"model.layers.{layer_idx}.mlp.shared_expert.down_proj"] = None
expert_fqn_to_config[f"model.layers.{layer_idx}.mlp.shared_expert_gate"] = None
expert_fqn_to_config[f"lm_head"] = None
module_fqn_to_config = ModuleFqnToConfig({
"_default": None,
"_default": single_config,
**expert_fqn_to_config,
})

return TorchAoConfig(
quant_type=module_fqn_to_config,
)
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