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README.md
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base_model: databricks/dbrx-instruct
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license: other
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---
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-
#
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- ## Introduction
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This model was created by applying [Quark](https://quark.docs.amd.com/latest/index.html) with calibration samples from Pile dataset.
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- ## Quantization Stragegy
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# single GPU
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python3 quantize_quark.py \
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--model_dir $MODEL_DIR \
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-
--output_dir
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--quant_scheme w_fp8_a_fp8 \
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--kv_cache_dtype fp8 \
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--num_calib_data 128 \
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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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-
--output_dir
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--quant_scheme w_fp8_a_fp8 \
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--kv_cache_dtype fp8 \
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--num_calib_data 128 \
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@@ -50,7 +50,7 @@ The quantization evaluation results are conducted in pseudo-quantization mode, w
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</td>
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<td><strong>dbrx-instruct </strong>
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</td>
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<td><strong>
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</td>
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</tr>
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<tr>
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base_model: databricks/dbrx-instruct
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license: other
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---
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# dbrx-instruct-FP8-KV
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- ## Introduction
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This model was created by applying [Quark](https://quark.docs.amd.com/latest/index.html) with calibration samples from Pile dataset.
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- ## Quantization Stragegy
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# single GPU
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python3 quantize_quark.py \
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--model_dir $MODEL_DIR \
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--output_dir dbrx-instruct-FP8-KV \
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--quant_scheme w_fp8_a_fp8 \
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--kv_cache_dtype fp8 \
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--num_calib_data 128 \
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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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+
--output_dir dbrx-instruct-FP8-KV\
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--quant_scheme w_fp8_a_fp8 \
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--kv_cache_dtype fp8 \
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--num_calib_data 128 \
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</td>
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<td><strong>dbrx-instruct </strong>
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</td>
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<td><strong>dbrx-instruct-FP8-KV(this model)</strong>
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</td>
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</tr>
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<tr>
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