This model is identical to OrionStarAI/OrionStar-Yi-34B with the only difference being that the tensors have been renamed to follow the LLaMA format for automatic evaluation on the HF leaderboard.

Model Introduction

OrionStar-Yi-34B-Chat from OrionStarAI is based on the open-source Yi-34B model, fine-tuned on a high-quality corpus of over 15 million sentences. OrionStar-Yi-34B-Chat aims to provide an excellent interactive experience for users in the large model community.
The Yi series models, open-sourced by the 01-ai team, have shown impressive performance on various benchmarks in Chinese, English, and general domains. OrionStar-Yi-34B-Chat further explores the potential of Yi-34B. Through extensive fine-tuning on a large and high-quality corpus, OrionStar-Yi-34B-Chat performs exceptionally well on evaluation data. We strive to make it an outstanding open-source alternative in the ChatGPT domain!
Our fine-tuned model is completely open for academic research, but please adhere to the agreement and the Yi License.
Model Evaluation Results

We use opencompass to perform 5-shot on the following general domain datasets Testing. The evaluation results of other models are taken from opencompass leaderboard.

	C-Eval	MMLU	CMMLU
GPT-4	69.9	83	71
ChatGPT	52.5	69.1	53.9
Claude-1	52	65.7	-
TigerBot-70B-Chat-V2	57.7	65.9	59.9
WeMix-LLaMA2-70B	55.2	71.3	56
LLaMA-2-70B-Chat	44.3	63.8	43.3
Qwen-14B-Chat	71.7	66.4	70
Baichuan2-13B-Chat	56.7	57	58.4
OrionStar-Yi-34B-Chat	77.71	78.32	73.52

Discord Link: https://discord.gg/zumjDWgdAs