What are the hardware requirements for Uni TianYan V1?

Uni TianYan V1 requires approximately 138 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 Uni TianYan V1 and how large is it?

Uni TianYan V1 is developed by uni-tianyan, a model with 69b 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 Uni TianYan V1?

Uni TianYan V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Uni TianYan V1 by uni-tianyan — VRAM 138GB, 4K context

Name: Uni TianYan V1
Author: uni-tianyan

Uni TianYan V1 is an open-source language model by uni-tianyan. Features: 69b LLM, VRAM: 138GB, Context: 4K, License: llama2, LLM Explorer Score: 0.1.

Arxiv:2306.02707 Arxiv:2308.07317 4-bit En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/uni-tianyan/Uni-TianYan-V1

Uni TianYan V1 Parameters and Internals

Use Cases

Limitations:

Llama2 and fine-tuned variants can produce biased or inaccurate responses and carry risks., Testing has been primarily in English and may not cover all scenarios.

Supported Languages

en (unknown)

Safety Evaluation

Ethical Considerations:

Llama2 and fine-tuned variants are a new technology that carries risks with use. Testing conducted to date has been in English, and has not covered all scenarios. The model may in some instances produce inaccurate, biased, or objectionable responses.

Responsible Ai Considerations

Mitigation Strategies:

Before deploying applications of Llama 2 variants, perform safety testing and tuning tailored to specific applications.

LLM Name	Uni TianYan V1
Repository 🤗	https://huggingface.co/uni-tianyan/Uni-TianYan-V1
Model Size	69b
Required VRAM	138 GB
Updated	2026-07-22
Maintainer	uni-tianyan
Model Type	llama
Model Files	9.8 GB: 1-of-15 9.8 GB: 2-of-15 10.0 GB: 3-of-15 9.8 GB: 4-of-15 9.8 GB: 5-of-15 9.8 GB: 6-of-15 10.0 GB: 7-of-15 9.8 GB: 8-of-15 9.8 GB: 9-of-15 9.8 GB: 10-of-15 10.0 GB: 11-of-15 9.8 GB: 12-of-15 9.8 GB: 13-of-15 9.5 GB: 14-of-15 0.5 GB: 15-of-15
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Uni TianYan V1 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 Uni TianYan V1

Best Alternatives	Context / RAM	Downloads	Likes
...ine Tu Ophtho 3 1e 05 Stanford	4K / 138.7 GB	5	0
StableBeluga2	4K / 1.7 GB	15937	20
V Alpha Tross	4K / 138.7 GB	74	20
SaiLy Experiment V1	4K / 276 GB	15	2
Airoboros L2 C70b 3.1.2	4K / 138 GB	79	0
Model 007 Preview	4K / 138 GB	29	1
QCammel 70 X AWQ	4K / 36.6 GB	6	1
QCammel 70 X GPTQ	4K / 35.3 GB	10	2

Note: green Score (e.g. "73.2") means that the model is better than uni-tianyan/Uni-TianYan-V1.