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tharapalanivel merged 1 commit into from
May 18, 2026
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feat: update readme with fp8 dependency groups #205

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5 changes: 3 additions & 2 deletions README.md
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Expand Up @@ -41,7 +41,7 @@ FMS Model Optimizer is a framework for developing reduced precision neural netwo

*Optional packages based on optimization functionality required:*

- **GPTQ** is a popular compression method for LLMs:
- **GPTQ** is a popular compression method for LLMs:
- [gptqmodel](https://pypi.org/project/gptqmodel/) or build from [source](https://github.com/ModelCloud/GPTQModel)
- If you want to experiment with **INT8** deployment in [QAT](./examples/QAT_INT8/) and [PTQ](./examples/PTQ_INT8/) examples:
- Nvidia GPU with compute capability > 8.0 (A100 family or higher)
Expand Down Expand Up @@ -100,7 +100,8 @@ pip install -e .

#### Optional Dependencies
The following optional dependencies are available:
- `fp8`: `llmcompressor` package for fp8 quantization
- `fp8`: `llmcompressor` and `torchao` packages for fp8 quantization and inference
- `fp8-infer`: `torchao` package for fp8 inference
- `gptq`: `GPTQModel` package for W4A16 quantization
- `mx`: `microxcaling` package for MX quantization
- `opt`: Shortcut for `fp8`, `gptq`, and `mx` installs
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