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Model: hiyouga/Baichuan2-7B-Chat-LLaMAfied
Source: Original Platform

README.md

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+---
+license: other
+language:
+- en
+- zh
+library_name: transformers
+pipeline_tag: text-generation
+inference: false
+tags:
+- baichuan
+- llama2
+- baichuan2
+---
+
+This is the LLaMAfied version of [Baichuan2-7B-Chat](https://huggingface.co/baichuan-inc/Baichuan2-7B-Chat) model by Baichuan Inc.
+
+This model is converted with https://github.com/hiyouga/LLaMA-Factory/blob/main/tests/llamafy_baichuan2.py
+
+You may use this model for fine-tuning in downstream tasks, we recommend using our efficient fine-tuning toolkit. https://github.com/hiyouga/LLaMA-Factory
+
+- **Developed by:** Baichuan Inc.
+- **Language(s) (NLP):** Chinese/English
+- **License:** [Baichuan2 License](https://huggingface.co/baichuan-inc/Baichuan2-7B-Chat/resolve/main/Baichuan2%20%E6%A8%A1%E5%9E%8B%E7%A4%BE%E5%8C%BA%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE.pdf)
+
+Usage:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
+
+tokenizer = AutoTokenizer.from_pretrained("hiyouga/Baichuan2-7B-Chat-LLaMAfied", use_fast=False)
+model = AutoModelForCausalLM.from_pretrained("hiyouga/Baichuan2-7B-Chat-LLaMAfied").cuda()
+streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
+
+query = "<reserved_106>晚上睡不着怎么办<reserved_107>"
+inputs = tokenizer([query], return_tensors="pt")
+inputs = inputs.to("cuda")
+generate_ids = model.generate(**inputs, max_new_tokens=256, streamer=streamer)
+```
+
+You could also alternatively launch a CLI demo by using the script in [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory)
+
+```bash
+python src/cli_demo.py --template baichuan2 --model_name_or_path hiyouga/Baichuan2-7B-Chat-LLaMAfied
+```
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_hiyouga__Baichuan2-7B-Chat-LLaMAfied)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 47.92   |
+| ARC (25-shot)         | 52.47          |
+| HellaSwag (10-shot)   | 74.04    |
+| MMLU (5-shot)         | 53.88         |
+| TruthfulQA (0-shot)   | 48.04   |
+| Winogrande (5-shot)   | 69.14   |
+| GSM8K (5-shot)        | 10.92        |
+| DROP (3-shot)         | 26.94         |