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Yi 34B by 01-ai

 »  All LLMs  »  01-ai  »  Yi 34B   URL Share it on

  8522   
  Arxiv:2311.16502   Arxiv:2401.11944   Arxiv:2403.04652   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Yi 34B Benchmarks

ARC: 91.9-4.6%
HellaSwag: 82-14%
MMLU: 76.3-11.8%
TruthfulQA: 56.23-4.7%
WinoGrande: 83.03-5.1%
GSM8K: 67.9-26.2%
OpenCompass Avg: 63.3  vs  73.3  (GPT-4) -13.6%
Exam: 78.51.7%
Language: 44.9-27.6%
Knowledge: 64.5-12.2%
Understanding: 76.69.4%
Reasoning: 59-20.7%
nn.n% — How the model compares to the GPT-4.

Yi 34B Parameters and Internals

LLM NameYi 34B
RepositoryOpen on 🤗 
Model Size34b
Required VRAM68.9 GB
Updated2024-07-26
Maintainer01-ai
Model Typellama
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   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 ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
Yi 34B (01-ai/Yi-34B)

Quantized Models of the Yi 34B

Model
Likes
Downloads
VRAM
Yi 34B GGUF7444414 GB
...Hermes 2 Yi 34B 4.0bpw H6 EXL24618 GB
...Hermes 2 Yi 34B 3.0bpw H6 EXL22413 GB
...ermes 2 Yi 34B 4.65bpw H6 EXL21820 GB
...Hermes 2 Yi 34B 5.0bpw H6 EXL21722 GB
Yi 34B GPTQ334418 GB
Yi 34B AWQ72219 GB

Best Alternatives to Yi 34B

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
Yi 34B 200K0.3195K / 68.9 GB5280313
Smaug 34B V0.10.3195K / 69.2 GB317958
Yi 34B 200K AEZAKMI V20.3195K / 69.2 GB96012
Smaug 34B V0.1 ExPO0.3195K / 69.2 GB20610
Faro Yi 34B0.3195K / 69.2 GB27486
Bagel DPO 34B V0.50.3195K / 68.7 GB181217
Nous Capybara 34B0.3195K / 68.9 GB6679242
Yi 34B 200K HESOYAM 09050.3195K / 69.2 GB2550
Bagel DPO 34B V0.20.3195K / 69.2 GB275597
Bagel 34B V0.20.3195K / 68.7 GB480238

Rank the Yi 34B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501
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