What are the hardware requirements for OrionStar Yi 34B Chat Llama?

OrionStar Yi 34B Chat Llama requires approximately 68.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OrionStar Yi 34B Chat Llama and how large is it?

OrionStar Yi 34B Chat Llama is developed by OrionStarAI, a model with 34b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does OrionStar Yi 34B Chat Llama perform on standard benchmarks?

OrionStar Yi 34B Chat Llama has the following published scores: MMLU 73.67. Compare against reference models on this page or on the LLM Explorer leaderboards.

OrionStar Yi 34B Chat Llama by OrionStarAI — VRAM 68.9GB, 4K context

Name: OrionStar Yi 34B Chat Llama
Author: OrionStarAI

OrionStar Yi 34B Chat Llama is an open-source language model by OrionStarAI. Features: 34b LLM, VRAM: 68.9GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.11, Arc: 64.9, HellaSwag: 84.3, MMLU: 73.7, GSM8K: 53.9.

Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/OrionStarAI/OrionStar-Yi-34B-Chat-Llama

OrionStar Yi 34B Chat Llama Parameters and Internals

Model Type

text generation, chatbot

Use Cases

Areas:

Research, ChatGPT domain

Primary Use Cases:

Interactive experience for large model community

Additional Notes

Fine-tuned for use in ChatGPT domain.

Supported Languages

Chinese (High), English (High), General (High)

Training Details

Data Sources:

Over 15 million sentences corpus

Methodology:

Fine-tuning on Yi-34B

Model Architecture:

LLaMA format

Input Output

Input Format:

Text

Accepted Modalities:

text

Output Format:

Text

LLM Name	OrionStar Yi 34B Chat Llama
Repository 🤗	https://huggingface.co/OrionStarAI/OrionStar-Yi-34B-Chat-Llama
Model Size	34b
Required VRAM	68.9 GB
Updated	2026-05-26
Maintainer	OrionStarAI
Model Type	llama
Model Files	10.0 GB: 1-of-7 9.9 GB: 2-of-7 9.8 GB: 3-of-7 9.8 GB: 4-of-7 9.8 GB: 5-of-7 9.9 GB: 6-of-7 9.7 GB: 7-of-7
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the OrionStar Yi 34B Chat Llama capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Quantized Models of the OrionStar Yi 34B Chat Llama

Model	Likes	Downloads	VRAM
...ionStar Yi 34B Chat Llama GGUF	2	133	12 GB
...ionStar Yi 34B Chat Llama GGUF	16	1091	14 GB
...ionStar Yi 34B Chat Llama GPTQ	4	19	18 GB
...rionStar Yi 34B Chat Llama AWQ	3	5	19 GB

Best Alternatives to OrionStar Yi 34B Chat Llama

Best Alternatives	Context / RAM	Downloads	Likes
Bagel Hermes 34B Slerp	195K / 68.9 GB	8375	1
34B Beta	195K / 69.2 GB	8670	67
Smaug 34B V0.1	195K / 69.2 GB	8082	64
Casual Magnum 34B	195K / 68.8 GB	4	1
Yi 34B 200K	195K / 68.9 GB	9133	320
Bagel 34B V0.2	195K / 68.7 GB	259	41
Yi 34B 200K AEZAKMI V2	195K / 69.2 GB	57	12
Faro Yi 34B	195K / 69.2 GB	8208	6
Bagel DPO 34B V0.5	195K / 68.7 GB	8040	17
Smaug 34B V0.1 ExPO	195K / 69.2 GB	7812	0

Note: green Score (e.g. "73.2") means that the model is better than OrionStarAI/OrionStar-Yi-34B-Chat-Llama.