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Add support to modelopt quantization of Mixtral model (#15961)

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Signed-off-by: Yue <yueshen@nvidia.com>
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yueshen2016 2025-04-08 18:53:31 -07:00 committed by GitHub
parent 86c3369eb8
commit 1f4b09b525
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1 changed files with 7 additions and 1 deletions
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vllm/model_executor/models/mixtral_quant.py
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@ -45,7 +45,8 @@ from vllm.model_executor.layers.rotary_embedding import get_rope
from vllm.model_executor.layers.sampler import SamplerOutput, get_sampler from vllm.model_executor.layers.sampler import SamplerOutput, get_sampler
from vllm.model_executor.layers.vocab_parallel_embedding import ( from vllm.model_executor.layers.vocab_parallel_embedding import (
ParallelLMHead, VocabParallelEmbedding) ParallelLMHead, VocabParallelEmbedding)
from vllm.model_executor.model_loader.weight_utils import default_weight_loader from vllm.model_executor.model_loader.weight_utils import (
default_weight_loader, maybe_remap_kv_scale_name)
from vllm.model_executor.sampling_metadata import SamplingMetadata from vllm.model_executor.sampling_metadata import SamplingMetadata
from vllm.sequence import IntermediateTensors from vllm.sequence import IntermediateTensors
@ -420,6 +421,11 @@ class MixtralForCausalLM(nn.Module, SupportsPP):
for name, loaded_weight in weights: for name, loaded_weight in weights:
if "rotary_emb.inv_freq" in name: if "rotary_emb.inv_freq" in name:
continue continue
if name.endswith("scale"):
# Remapping the name of FP8 kv-scale.
name = maybe_remap_kv_scale_name(name, params_dict)
if name is None:
continue
for (param_name, weight_name, shard_id) in stacked_params_mapping: for (param_name, weight_name, shard_id) in stacked_params_mapping:
if weight_name not in name: if weight_name not in name:
continue continue