create readme

README.md

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+---
+datasets:
+- stingning/ultrachat
+---
+
+This is [openbmb/UltraLM-13b](https://huggingface.co/openbmb/UltraLM-13b) recovered with [huggyllama/llama-13b](https://huggingface.co/huggyllama/llama-13b) and quantized to 4bit GPTQ with the following config:
+```python
+quantize_config = BaseQuantizeConfig(
+    bits=4, 
+    group_size=32,  
+    desc_act=True,
+)
+```
+# Original Model Card:
+
+# UltraLM-13b
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This is UltraLM-13b delta weights, a chat language model trained upon [UltraChat](https://github.com/thunlp/UltraChat)
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+The model is fine-tuned based on LLaMA-13b with a multi-turn chat-format template as below
+
+```
+User: instruction 1<eos_token>
+Assistant: response 1<eos_token>
+User: instruction 2<eos_token>
+Assistant: response 2<eos_token>
+...
+```
+
+- **License:** UltraLM is based on LLaMA and should be used under LLaMA's [model license](https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md).
+- **Finetuned from model:** LLaMA-13b
+- **Finetuned on data:** [UltraChat](https://github.com/thunlp/UltraChat)
+
+### Model Sources
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [UltraChat](https://github.com/thunlp/UltraChat)
+- **Paper:** [arxiv](https://arxiv.org/abs/2305.14233)
+- **Demo:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+To use this model, you need to [recover](https://github.com/thunlp/UltraChat/tree/main/UltraLM) the full model from the delta weights and perform inference following the template below:
+
+```
+[Optional]User: system prompt<eos_token>
+User: user input<eos_token>
+Assistant: 
+```