enable llama4 int8 quantization baseline #522
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Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
wenhuach21
reviewed
Apr 18, 2025
| state_dict = translate_2_sglang_int8(model) | ||
| max_shard_size = 40 * 1024**3 # 40GB | ||
| shards = {} | ||
| current_shard = {} |
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this part should be refined and supported in main branch.
Better follow the origin code style if possible
Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
Signed-off-by: Zhang, Weiwei1 <[email protected]>
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for Xeon SGlang INT8 llama4 model workround
pull this PR code
pip install torch torchvision
cd auto-round/
pip install -e .[cpu]
sh run_llama4_quant.sh model_path save_path
sh run_qwen3.sh model_path save_path