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FIX / Docs: Minor changes in quantization docs (#30985)

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* Change in quantization docs

* Update overview.md

* Update docs/source/en/quantization/overview.md

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

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Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
This commit is contained in:
Younes Belkada
2024-05-23 16:36:49 +02:00
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1 changed files with 8 additions and 8 deletions
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docs/source/en/quantization/overview.md
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@@ -24,14 +24,14 @@ Interested in adding a new quantization method to Transformers? Read the [HfQuan
</Tip> </Tip>
> [!TIP] <Tip>
> If you are new to the quantization field, we recommend you to check out these beginner-friendly courses about quantization
> in colaboration with DeepLearning.AI:
> - [Quantization Fundamentals with Hugging Face](https://www.deeplearning.ai/short-courses/quantization-fundamentals-with-hugging-face/) If you are new to the quantization field, we recommend you to check out these beginner-friendly courses about quantization in collaboration with DeepLearning.AI:
> - [Quantization in Depth](https://www.deeplearning.ai/short-courses/quantization-in-depth/) * [Quantization Fundamentals with Hugging Face](https://www.deeplearning.ai/short-courses/quantization-fundamentals-with-hugging-face/)
* [Quantization in Depth](https://www.deeplearning.ai/short-courses/quantization-in-depth/)
</Tip>
## When to use what? ## When to use what?
@@ -45,14 +45,14 @@ In short, supporting a wide range of quantization methods allows you to pick the
Use the table below to help you decide which quantization method to use. Use the table below to help you decide which quantization method to use.
| Quantization method | On the fly quantization | CPU | CUDA GPU | RoCm GPU (AMD) | Metal (Apple Silicon) | torch.compile() support | Number of bits | Supports fine-tuning (through PEFT) | Serializable | 🤗 transformers support | Link to library | | Quantization method | On the fly quantization | CPU | CUDA GPU | RoCm GPU (AMD) | Metal (Apple Silicon) | torch.compile() support | Number of bits | Supports fine-tuning (through PEFT) | Serializable with 🤗 transformers | 🤗 transformers support | Link to library |
|-------------------------------------|-------------------------|-----|----------|----------------|-----------------------|-------------------------|----------------|-------------------------------------|--------------|------------------------|---------------------------------------------| |-------------------------------------|-------------------------|-----|----------|----------------|-----------------------|-------------------------|----------------|-------------------------------------|--------------|------------------------|---------------------------------------------|
| [AQLM](./aqlm) | 🔴 | 🟢 | 🟢 | 🔴 | 🔴 | ? | 1 / 2 | 🟢 | 🟢 | 🟢 | https://github.com/Vahe1994/AQLM | | [AQLM](./aqlm) | 🔴 | 🟢 | 🟢 | 🔴 | 🔴 | ? | 1 / 2 | 🟢 | 🟢 | 🟢 | https://github.com/Vahe1994/AQLM |
| [AWQ](./awq) | 🔴 | 🔴 | 🟢 | 🟢 | 🔴 | ? | 4 | 🟢 | 🟢 | 🟢 | https://github.com/casper-hansen/AutoAWQ | | [AWQ](./awq) | 🔴 | 🔴 | 🟢 | 🟢 | 🔴 | ? | 4 | 🟢 | 🟢 | 🟢 | https://github.com/casper-hansen/AutoAWQ |
| [bitsandbytes](./bitsandbytes) | 🟢 | 🔴 | 🟢 | 🔴 | 🔴 | 🔴 | 4 / 8 | 🟢 | 🟢 | 🟢 | https://github.com/TimDettmers/bitsandbytes | | [bitsandbytes](./bitsandbytes) | 🟢 | 🔴 | 🟢 | 🔴 | 🔴 | 🔴 | 4 / 8 | 🟢 | 🟢 | 🟢 | https://github.com/TimDettmers/bitsandbytes |
| [EETQ](./eetq) | 🟢 | 🔴 | 🟢 | 🔴 | 🔴 | ? | 8 | 🟢 | 🟢 | 🟢 | https://github.com/NetEase-FuXi/EETQ | | [EETQ](./eetq) | 🟢 | 🔴 | 🟢 | 🔴 | 🔴 | ? | 8 | 🟢 | 🟢 | 🟢 | https://github.com/NetEase-FuXi/EETQ |
| GGUF / GGML (llama.cpp) | 🟢 | 🟢 | 🟢 | 🔴 | 🟢 | 🔴 | 1 - 8 | 🔴 | 🟢 | [See GGUF section](../gguf) | https://github.com/ggerganov/llama.cpp | | GGUF / GGML (llama.cpp) | 🟢 | 🟢 | 🟢 | 🔴 | 🟢 | 🔴 | 1 - 8 | 🔴 | [See GGUF section](../gguf) | [See GGUF section](../gguf) | https://github.com/ggerganov/llama.cpp |
| [GPTQ](./gptq) | 🔴 | 🔴 | 🟢 | 🟢 | 🔴 | 🔴 | 4 / 8 | 🟢 | 🟢 | 🟢 | https://github.com/AutoGPTQ/AutoGPTQ | | [GPTQ](./gptq) | 🔴 | 🔴 | 🟢 | 🟢 | 🔴 | 🔴 | 4 / 8 | 🟢 | 🟢 | 🟢 | https://github.com/AutoGPTQ/AutoGPTQ |
| [HQQ](./hqq) | 🟢 | 🔴 | 🟢 | 🔴 | 🔴 | 🟢 | 1 - 8 | 🟢 | 🔴 | 🟢 | https://github.com/mobiusml/hqq/ | | [HQQ](./hqq) | 🟢 | 🟢 | 🟢 | 🔴 | 🔴 | 🟢 | 1 - 8 | 🟢 | 🔴 | 🟢 | https://github.com/mobiusml/hqq/ |
| [Quanto](./quanto) | 🟢 | 🟢 | 🟢 | 🔴 | 🟢 | 🟢 | 2 / 4 / 8 | 🔴 | 🔴 | 🟢 | https://github.com/huggingface/quanto | | [Quanto](./quanto) | 🟢 | 🟢 | 🟢 | 🔴 | 🟢 | 🟢 | 2 / 4 / 8 | 🔴 | 🔴 | 🟢 | https://github.com/huggingface/quanto |