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Uni TianYan by uni-tianyan

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Uni TianYan is an open-source language model by uni-tianyan. Features: LLM, VRAM: 138GB, Context: 4K, License: llama2, HF Score: 66.6, LLM Explorer Score: 0.12, Arc: 72.1, HellaSwag: 87.4, MMLU: 69.9, TruthfulQA: 65.8, WinoGrande: 82.3, GSM8K: 22.1.

  Arxiv:2306.02707   Arxiv:2308.07317   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/uni-tianyan/Uni-TianYan 

Uni TianYan Benchmarks

ARC: 72.1 vs 96.7 (so35)-25.4%
HellaSwag: 87.4 vs 95.3 (gpt4)-8.3%
MMLU: 69.91 vs 88.3 (so35)-20.8%
TruthfulQA: 65.81 vs 59 (gpt4)11.5%
WinoGrande: 82.32 vs 87.5 (gpt4)-5.9%
GSM8K: 22.14 vs 96.4 (so35)-77%
LLME Score: 0.11879
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Uni TianYan (uni-tianyan/Uni-TianYan)
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Uni TianYan Parameters and Internals

Additional Notes 
Uni-TianYan is a finetuned model from LLaMA2. Testing has been conducted primarily in English.
LLM NameUni TianYan
Repository 🤗https://huggingface.co/uni-tianyan/Uni-TianYan 
Required VRAM138 GB
Updated2026-03-30
Maintaineruni-tianyan
Model Typellama
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 Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Uni TianYan

Model
Likes
Downloads
VRAM
Uni TianYan 70B AWQ11036 GB
Uni TianYan 70B GGUF108029 GB
Uni TianYan 70B GPTQ2835 GB

Best Alternatives to Uni TianYan

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Pallas 0.5 LASER 0.1195K / 68.9 GB18882
Orpheus AUS128K /  GB50
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Finetuning Health Ci128K / 6.5 GB22
Ukr Synth Phi 3.5128K / 7.6 GB70
WizardLM Phi 3.5128K / 7.6 GB50
Note: green Score (e.g. "73.2") means that the model is better than uni-tianyan/Uni-TianYan.

Rank the Uni TianYan Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

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