---
license: mit
---

个人感觉这是当前对中文角色扮演聊天支持最好的模型了

### acsr-y34b-4bpw-hb6-exl2

- base model: [Yi-34B-Chat](https://huggingface.co/01-ai/Yi-34B-Chat)
- LoRA: [Yi-34b-alpaca-cot-lora](https://huggingface.co/zzlgreat/Yi-34b-alpaca-cot-lora) 支持Alpaca格式对话，效果很差不推荐使用Alpaca指令格式
- LoRA: [Yi-34B-Spicyboros-3.1-LoRA](https://huggingface.co/LoneStriker/Yi-34B-Spicyboros-3.1-LoRA) 非官方对话数据集
- LoRA: [limarpv3-yi-llama-34b-lora](https://huggingface.co/Doctor-Shotgun/limarpv3-yi-llama-34b-lora) 扮演类长回复
- Instruction template: ChatML
- Origin max token size: 4096
- 在使用text-generation-webui作后台，SillyTavern做前端时，webui上MaxToken调到8K时SillyTavern的MaxToken要调整到18K，WebUI才不会提前截断
- 上下文长度8K Alpha调到2.5左右时，聊天到6K 以上Token还是不可避免的出现重复的回复和回复质量下降
- 在SillyTavern上要得到Roleplay样式的长回复需做如下调整
  - 使用ChatML作为指令格式
  - 勾选 `用换行符换行序列`
  - 最后输出序列调整为 `### Response (2 paragraphs, engaging, natural, authentic, descriptive, creative):`
  - 自定义停止符调整为 `["<|im_end|>用户", "\n### Input"]`
  - 系统提示调整为 `Avoid repetition, don't loop. Develop the plot slowly, always stay in character. Describe all actions in full, elaborate, explicit, graphic, and vivid detail. Mention all relevant sensory perceptions.`

### description

- This is test for [exllamav2](https://github.com/turboderp/exllamav2) model.
- 4bpw `python convert.py -i acsr-v2-y34b -c exl2/0000.parquet -o acsr-v2-y34b-4bpw-hb6-exl2 -hb 6 -l 4096 -b 4.15`
- [convert doc](https://github.com/turboderp/exllamav2/blob/master/doc/convert.md)
- calibration dataset: [WikiText-2-v1](https://huggingface.co/datasets/wikitext/blob/refs%2Fconvert%2Fparquet/wikitext-2-v1/test/0000.parquet)
- oobabooga/text-generation-webui must add `--trust-remote-code` into CMD_FLAGS.txt and use ExLlamav2 to load model