56 lines
1.7 KiB
YAML
56 lines
1.7 KiB
YAML
model:
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name: Qwen3-Coder-30B-A3B-Instruct-FP8
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model_type: qwen3_moe
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paths:
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checkpoint_dir: /home/mashun/vllm_project/checkpoints/Qwen3-Coder-30B-A3B-Instruct-FP8
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output_dir: /home/mashun/vllm_project/checkpoints/Qwen3-Coder-30B-A3B-Instruct-w4a8
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runtime:
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num_workers: 8
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mode: dequant+quant # dequant | dequant+quant | quant (only support bf16)
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retry_files: ~
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quant:
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version: 2
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format:
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TN:
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- "re:model.layers.\\d+.mlp.experts.\\d+.down_proj"
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- "re:model.layers.\\d+.mlp.experts.\\d+.gate_proj"
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- "re:model.layers.\\d+.mlp.experts.\\d+.up_proj"
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NN: ~
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batch_size: 64
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block_size: 128
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group_size: -1
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symmetric: True
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class:
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int4: ~
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int8:
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- "re:model.layers.\\d+.mlp.experts.\\d+.down_proj"
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- "re:model.layers.\\d+.mlp.experts.\\d+.gate_proj"
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- "re:model.layers.\\d+.mlp.experts.\\d+.up_proj"
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ignore:
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- "re:lm_head.*"
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- "re:model.norm.*"
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- "re:model.embed_tokens.*"
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- "re:model.layers.\\d+.input_layernorm.*"
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- "re:model.layers.\\d+.mlp.gate.*"
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- "re:model.layers.\\d+.post_attention_layernorm.*"
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- "re:model.layers.\\d+.self_attn.k_norm.*"
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- "re:model.layers.\\d+.self_attn.k_proj.*"
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- "re:model.layers.\\d+.self_attn.o_proj.*"
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- "re:model.layers.\\d+.self_attn.q_norm.*"
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- "re:model.layers.\\d+.self_attn.q_proj.*"
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- "re:model.layers.\\d+.self_attn.v_proj.*"
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dequant:
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ignore:
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- "re:lm_head.*"
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- "re:model.embed_tokens.*"
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- "re:model.layers.\\d+.input_layernorm.*"
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- "re:model.layers.\\d+.mlp.gate.*"
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- "re:model.layers.\\d+.post_attention_layernorm.*"
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- "re:model.layers.\\d+.self_attn.k_norm.*"
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- "re:model.layers.\\d+.self_attn.q_norm.*"
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- "re:model.norm.*" |