---
license: mit
---

这是以Yi-34B-Llama为底座重新合并的模型，原本200K上下文底座在合并了几个非200K上下文LoRA后的效果好象不太行，所以使用与LoRA相配套的底座重新合并

### Yi-34b-200K-alpaca-rpv3-scipy-6bpw-hb6-exl2

- base model: [Yi-34B-Llama](https://huggingface.co/chargoddard/Yi-34B-Llama)
- LoRA: [Yi-34b-alpaca-cot-lora](https://huggingface.co/zzlgreat/Yi-34b-alpaca-cot-lora)
- LoRA: [Yi-34B-Spicyboros-3.1-LoRA](https://huggingface.co/LoneStriker/Yi-34B-Spicyboros-3.1-LoRA)
- LoRA: [limarpv3-yi-llama-34b-lora](https://huggingface.co/Doctor-Shotgun/limarpv3-yi-llama-34b-lora)

### description

- This is test for [exllamav2](https://github.com/turboderp/exllamav2) model version must after [Add Yi support](https://github.com/turboderp/exllamav2/commit/6d24e1ad40d89f64b1bd3ae36e639c74c9f730b2)
- 6.0bpw `python convert.py -i acsr-y34b -c exl2/0000.parquet -o acsr-y34b-4bpw-hb6-exl2 -hb 6 -l 4096 -b 6`
- [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