初始化项目，由ModelHub XC社区提供模型

Model: AI-ModelScope/Yi-1.5-34B-Chat-AWQ
Source: Original Platform

README.md

@@ -0,0 +1,45 @@
+---
+---
+language:
+- en
+- zh
+pipeline_tag: text-generation
+tags:
+- Awq
+- int4
+- yi1.5-34B-Chat
+- pytorch
+license: Apache 2.0
+license_name: Apache 2.0
+license_link: LICENSE
+---
+
+## About Quantization
+我们使用modelscope [swift](https://github.com/modelscope/swift/)仓库进行AWQ 4bit量化. 量化文档可以查看[这里](https://github.com/modelscope/swift/blob/main/docs/source/LLM/LLM%E9%87%8F%E5%8C%96%E6%96%87%E6%A1%A3.md). 量化命令如下:
+
+We use the modelscope [swift](https://github.com/modelscope/swift/) repository to perform AWQ 4bit quantization. Quantization documentation can be found [here](https://github.com/modelscope/swift/blob/main/docs/source_en/LLM/LLM-quantization.md). The quantization command is as follows:
+
+```bash
+# Experimental Environment: A100
+swift export \
+    --quant_bits 4 \
+    --model_type yi-1_5-34b-chat \
+    --quant_method awq \
+    --quant_n_samples 32 \
+    --dataset alpaca-zh alpaca-en sharegpt-gpt4-mini \
+    --quant_seqlen 4096
+```
+
+Inference:
+```bash
+CUDA_VISIBLE_DEVICES=0 swift infer --model_type yi-1_5-34b-chat-awq-int4
+```
+
+SFT:
+```bash
+CUDA_VISIBLE_DEVICES=0 swift sft --model_type yi-1_5-34b-chat-awq-int4 --dataset leetcode-python-en
+```
+
+Original Model:
+
+[YI1.5-34B-Chat](https://modelscope.cn/models/01ai/Yi-1.5-34B-Chat/summary)