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

OrionStar Yi 34B Chat Llama AWQ requires approximately 19.3 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 AWQ and how large is it?

OrionStar Yi 34B Chat Llama AWQ 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 AWQ?

OrionStar Yi 34B Chat Llama AWQ 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 AWQ by TheBloke — VRAM 19.3GB, 4K context

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

OrionStar Yi 34B Chat Llama AWQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 19.3GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.1.

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

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

OrionStar Yi 34B Chat Llama AWQ Parameters and Internals

Model Type

text-generation, chatbot

Use Cases

Areas:

research, large model community

Primary Use Cases:

interactive chat experience, general domain tasks

Limitations:

open for academic research only

Supported Languages

Chinese (high proficiency), English (high proficiency)

Training Details

Data Sources:

high-quality corpus of over 15 million sentences

Methodology:

fine-tuning

Context Length:

4096

Model Architecture:

Llama

Input Output

Input Format:

Human: {prompt} Assistant:

Accepted Modalities:

text

Output Format:

text

LLM Name	OrionStar Yi 34B Chat Llama AWQ
Repository 🤗	https://huggingface.co/TheBloke/OrionStar-Yi-34B-Chat-Llama-AWQ
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	19.3 GB
Updated	2026-07-31
Maintainer	TheBloke
Model Type	llama
Model Files	10.0 GB: 1-of-2 9.3 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq
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	float16

Rank the OrionStar Yi 34B Chat Llama AWQ 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 AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Opus V1 34B AWQ	195K / 19.2 GB	3	1
Smaug 34B V0.1 AWQ	195K / 19.2 GB	3	2
Yi 34B 200K RPMerge AWQ	195K / 19.2 GB	5	1
Tess 34B V1.5B AWQ	195K / 19.3 GB	7	3
...34B 200K DARE Megamerge V8 AWQ	195K / 19.3 GB	10	2
Deepmoney 34B 200K Base AWQ	195K / 19.3 GB	25	2
...ey 34B 200K Chat Evaluator AWQ	195K / 19.3 GB	5	5
Nous Capybara Limarpv3 34B AWQ	195K / 19.3 GB	0	1
Bagel DPO 34B V0.2 AWQ	195K / 19.3 GB	10	8
Nontoxic Bagel 34B V0.2 AWQ	195K / 19.3 GB	11	2

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