fix docs & readme (#486)

Author: Jintao-Huang

README.md

@@ -66,7 +66,7 @@ Users can check the [documentation of SWIFT](docs/source/GetStarted/快速使用
 ## 🎉 News
 - 🔥2024.02.29: Support [LLaMA PRO](https://arxiv.org/pdf/2401.02415.pdf), use [this script](https://github.com/modelscope/swift/blob/main/examples/pytorch/llm/scripts/yi_6b_chat/llamapro/sft.sh) to begin.
 - 🔥2024.02.29: Support [LoRA+](https://arxiv.org/pdf/2402.12354.pdf), use [this script](https://github.com/modelscope/swift/blob/main/examples/pytorch/llm/scripts/yi_6b_chat/lorap/sft.sh) to begin.
-- 2024.02.25: Support `swift export` to export models for AWQ/GPTQ quantization and push to ModelScope Hub. For more details, please refer to the document: [LLM Quantization Document](https://github.com/modelscope/swift/blob/main/docs/source/LLM/LLM%E9%87%8F%E5%8C%96%E6%96%87%E6%A1%A3.md).
+- 2024.02.25: Support `swift export` to export models for **AWQ/GPTQ** quantization and push to ModelScope Hub. For more details, please refer to the document: [LLM Quantization Document](https://github.com/modelscope/swift/blob/main/docs/source/LLM/LLM%E9%87%8F%E5%8C%96%E6%96%87%E6%A1%A3.md).
 - 2024.02.22: Support gemma series: gemma-2b, [gemma-2b-instruct](https://github.com/modelscope/swift/tree/main/examples/pytorch/llm/scripts/gemma_2b_instruct), gemma-7b, gemma-7b-instruct.
 - 2024.02.16: Support deepseek-math series: deepseek-math-7b, deepseek-math-7b-instruct, deepseek-math-7b-chat.
 - 🔥2024.02.05: Support **Qwen1.5** series, To view all supported Qwen1.5 models please check [Model List](https://github.com/modelscope/swift/blob/main/docs/source/LLM/%E6%94%AF%E6%8C%81%E7%9A%84%E6%A8%A1%E5%9E%8B%E5%92%8C%E6%95%B0%E6%8D%AE%E9%9B%86.md#%E6%A8%A1%E5%9E%8B). The [qwen1half-7b-chat](https://github.com/modelscope/swift/tree/main/examples/pytorch/llm/scripts/qwen1half_7b_chat), [qwen1half-7b-chat-int8](https://github.com/modelscope/swift/tree/main/examples/pytorch/llm/scripts/qwen1half_7b_chat_int8) fine-tuned scripts are provided.

README_CN.md

@@ -64,7 +64,7 @@ SWIFT（Scalable lightWeight Infrastructure for Fine-Tuning）是一个可扩展
 ## 🎉 新闻
 - 🔥2024.02.29: 支持[LLaMA PRO](https://arxiv.org/pdf/2401.02415.pdf), 使用[这个脚本](https://github.com/modelscope/swift/blob/main/examples/pytorch/llm/scripts/yi_6b_chat/llamapro/sft.sh)即可开始训练.
 - 🔥2024.02.29: 支持[LoRA+](https://arxiv.org/pdf/2402.12354.pdf), 使用[这个脚本](https://github.com/modelscope/swift/blob/main/examples/pytorch/llm/scripts/yi_6b_chat/lorap/sft.sh)即可开始训练.
-- 2024.02.25: 支持`swift export`, 对模型进行AWQ/GPTQ量化导出, 以及推送ModelScope Hub. 具体可以查看文档: [LLM量化文档](https://github.com/modelscope/swift/blob/main/docs/source/LLM/LLM%E9%87%8F%E5%8C%96%E6%96%87%E6%A1%A3.md).
+- 2024.02.25: 支持`swift export`, 对模型进行**AWQ/GPTQ**量化导出, 以及推送ModelScope Hub. 具体可以查看文档: [LLM量化文档](https://github.com/modelscope/swift/blob/main/docs/source/LLM/LLM%E9%87%8F%E5%8C%96%E6%96%87%E6%A1%A3.md).
 - 2024.02.22: 支持gemma系列: gemma-2b, [gemma-2b-instruct](https://github.com/modelscope/swift/tree/main/examples/pytorch/llm/scripts/gemma_2b_instruct), gemma-7b, gemma-7b-instruct.
 - 2024.02.16: 支持deepseek-math系列: deepseek-math-7b, deepseek-math-7b-instruct, deepseek-math-7b-chat.
 - 🔥2024.02.05: 支持**Qwen1.5**系列模型, 支持的所有Qwen1.5系列模型请查看[模型列表](https://github.com/modelscope/swift/blob/main/docs/source/LLM/%E6%94%AF%E6%8C%81%E7%9A%84%E6%A8%A1%E5%9E%8B%E5%92%8C%E6%95%B0%E6%8D%AE%E9%9B%86.md#%E6%A8%A1%E5%9E%8B). 提供了[qwen1half-7b-chat](https://github.com/modelscope/swift/tree/main/examples/pytorch/llm/scripts/qwen1half_7b_chat), [qwen1half-7b-chat-int8](https://github.com/modelscope/swift/tree/main/examples/pytorch/llm/scripts/qwen1half_7b_chat_int8)微调的脚本.

docs/source/LLM/LLM量化文档.md

@@ -32,7 +32,7 @@ pip install -r requirements/llm.txt  -U
 ```
 
 ## 原始模型
-这里展示对qwen1half-7b-chat进行awq量化.
+这里展示对qwen1half-7b-chat进行awq, gptq量化.
 ```bash
 # awq-int4量化 (使用A100大约需要18分钟, 显存占用: 12GB)
 # 如果出现量化的时候OOM, 可以适度降低`--quant_n_samples`(默认256)和`--quant_seqlen`(默认2048).