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[ Misc ] Enable Quantizing All Layers of DeekSeekv2 (#6423)

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Robert Shaw 2024-07-14 17:38:42 -04:00 committed by GitHub
parent ccd3c04571
commit 73030b7dae
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2 changed files with 6 additions and 1 deletions
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2
.buildkite/lm-eval-harness/run-lm-eval-gsm-vllm-baseline.sh
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@ -46,6 +46,6 @@ while getopts "m:b:l:f:t:" OPT; do
done
lm_eval --model vllm \
--model_args pretrained=$MODEL,tensor_parallel_size=$TP_SIZE,add_bos_token=true,distributed_executor_backend="ray",trust_remote_code=true \
--model_args pretrained=$MODEL,tensor_parallel_size=$TP_SIZE,add_bos_token=true,distributed_executor_backend="ray",trust_remote_code=true,max_model_len=4096 \
--tasks gsm8k --num_fewshot $FEWSHOT --limit $LIMIT \
--batch_size $BATCH_SIZE

5
vllm/model_executor/model_loader/weight_utils.py
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@ -431,6 +431,11 @@ def convert_pyslice_to_tensor(x: Any) -> torch.Tensor:
def default_weight_loader(param: torch.Tensor,
loaded_weight: torch.Tensor) -> None:
"""Default weight loader."""
# If the weight on disk does not have a shape, give it one
# (such scales for AutoFp8).
if len(loaded_weight.shape) == 0:
loaded_weight = loaded_weight.reshape(1)
assert param.size() == loaded_weight.size()
param.data.copy_(loaded_weight)