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LLM Compressor Docs
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Why use LLM Compressor?
Compresssing your model, step-by-step
Compresssing your model, step-by-step
Choosing your model
Choosing the right compression scheme
Choosing the right compression algorithm
Choosing a dataset
Compressing your model
Deploying with vLLM
Getting started
Getting started
Installing LLM Compressor
Key Models
Key Models
Llama 4
Llama 4
FP8 Example
Qwen3
Qwen3
FP8 Example
Kimi-K2
Kimi-K2
FP8 Example
Mistral Large 3
Mistral Large 3
FP8 Example
Guides
Guides
Compression Schemes
Sequential Onloading
Model Loading
Distributed Oneshot
Saving a Model
Observers
Memory Requirements
Runtime Performance
Examples
Examples
AutoRound Quantization
AWQ Quantization
Big Model Quantization with Sequential Onloading
Disk offloading
Model-free Quantization
Multimodal Audio Model Quantization
Multimodal Vision-Language Quantization
KV Cache Quantization
Non-uniform Quantization
fp4 Quantization with NVFP4
int4 Weight Quantization
fp8 Weight and Activation Quantization
int8 Weight and Activation Quantization
Quantizing Mixture of Experts (MoE) models
2:4 Sparsity with FP8 Quantization
Applying Transforms to Improve Quantization Accuracy
Experimental
Experimental
Attention Quantization in LLM Compressor
Mistral-format model compression (experimental)
MXFP4 Quantization
Developer
Developer
LLM Compressor Code of Conduct
Contributing to LLM Compressor
API Reference
API Reference
llmcompressor
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modifiers
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awq
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experimental
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logarithmic_equalization
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magnitude
magnitude
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sparsegpt
sparsegpt
base
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wanda
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base
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gptq
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base
gptq_quantize
quantization
quantization
base
mixin
smoothquant
smoothquant
base
utils
transform
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quip
quip
base
smoothquant
smoothquant
base
utils
spinquant
spinquant
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mappings
norm_mappings
utils
utils
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mse
pipelines
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basic
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data_free
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independent
independent
pipeline
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sequential
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transformers_helpers
ast_utils
ast_utils
auto_wrapper
control_flow_analyzer
name_analyzer
pytorch
pytorch
model_load
model_load
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utils
utils
helpers
sparsification
sparsification_info
sparsification_info
configs
helpers
module_sparsification_info
recipe
recipe
metadata
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utils
transformers
transformers
compression
compression
compressed_tensors_utils
helpers
sparsity_metadata_config
data
data
base
c4
cnn_dailymail
custom
data_helpers
evolcodealpaca
flickr_30k
gsm8k
open_platypus
peoples_speech
ultrachat_200k
wikitext
tracing
tracing
debug
utils
utils
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utils
utils
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FAQ
Home
Key Models
Qwen3
Quantization examples for the Qwen3-VL MoE vision-language model.
FP8 Example
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