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README.md
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@@ -31,7 +31,8 @@ python3 quantize_quark.py \
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--kv_cache_dtype fp8 \
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--num_calib_data 128 \
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--model_export quark_safetensors \
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--no_weight_matrix_merge
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# If model size is too large for single GPU, please use multi GPU instead.
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python3 quantize_quark.py \
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--model_dir $MODEL_DIR \
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@@ -41,7 +42,8 @@ python3 quantize_quark.py \
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--num_calib_data 128 \
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--model_export quark_safetensors \
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--no_weight_matrix_merge \
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--multi_gpu
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```
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## Deployment
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Quark has its own export format and allows FP8 quantized models to be efficiently deployed using the vLLM backend(vLLM-compatible).
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--kv_cache_dtype fp8 \
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--num_calib_data 128 \
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--model_export quark_safetensors \
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+
--no_weight_matrix_merge \
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--custom_mode fp8
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# If model size is too large for single GPU, please use multi GPU instead.
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python3 quantize_quark.py \
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--model_dir $MODEL_DIR \
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--num_calib_data 128 \
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--model_export quark_safetensors \
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--no_weight_matrix_merge \
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+
--multi_gpu \
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+
--custom_mode fp8
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```
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## Deployment
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Quark has its own export format and allows FP8 quantized models to be efficiently deployed using the vLLM backend(vLLM-compatible).
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