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

OrionStar Yi 34B Chat Llama GPTQ requires approximately 18.6 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 GPTQ and how large is it?

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

Where can I download or evaluate OrionStar Yi 34B Chat Llama GPTQ?

OrionStar Yi 34B Chat Llama GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OrionStar Yi 34B Chat Llama GPTQ by TheBloke — VRAM 18.6GB, 4K context

Name: OrionStar Yi 34B Chat Llama GPTQ
Author: TheBloke

OrionStar Yi 34B Chat Llama GPTQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 18.6GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.1.

4-bit Base model:orionstarai/orionst... Base model:quantized:orionstar... Gptq Llama Quantized Region:us Safetensors

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

OrionStar Yi 34B Chat Llama GPTQ Parameters and Internals

Model Type

text generation

Use Cases

Areas:

academic research

Applications:

ChatGPT alternative

Additional Notes

The Yi series models have shown impressive performance and are extensively fine-tuned for enhanced interaction.

Supported Languages

Chinese (high), English (general)

Training Details

Methodology:

Fine-tuned

Hardware Used:

Massed Compute

Model Architecture:

Based on open-source Yi-34B

Input Output

Input Format:

Human: {prompt} Assistant:

Accepted Modalities:

text

Output Format:

text

LLM Name	OrionStar Yi 34B Chat Llama GPTQ
Repository 🤗	https://huggingface.co/TheBloke/OrionStar-Yi-34B-Chat-Llama-GPTQ
Model Name	OrionStar Yi 34B Chat Llama
Model Creator	OrionStarAI
Base Model(s)	OrionStar Yi 34B Chat Llama OrionStarAI/OrionStar-Yi-34B-Chat-Llama
Model Size	34b
Required VRAM	18.6 GB
Updated	2026-08-08
Maintainer	TheBloke
Model Type	llama
Model Files	18.6 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the OrionStar Yi 34B Chat Llama GPTQ 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

Best Alternatives to OrionStar Yi 34B Chat Llama GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Yi 34B 200K RPMerge GPTQ	195K / 21.2 GB	2	4
Smaug 34B V0.1 GPTQ	195K / 21.2 GB	1	1
Tess 34B V1.5B GPTQ	195K / 18.6 GB	18	8
...4B 200K DARE Megamerge V8 GPTQ	195K / 18.6 GB	4	3
...y 34B 200K Chat Evaluator GPTQ	195K / 18.6 GB	8	3
Deepmoney 34B 200K Base GPTQ	195K / 18.6 GB	3	3
...ous Capybara Limarpv3 34B GPTQ	195K / 18.6 GB	11	4
Bagel 34B V0.2 GPTQ	195K / 18.6 GB	7	2
Bagel DPO 34B V0.2 GPTQ	195K / 18.6 GB	5	2
Nontoxic Bagel 34B V0.2 GPTQ	195K / 18.6 GB	3	1

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