Yi 34B 200K MAR2024 EXL2 4bpw by jmoney54378256438905

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  Arxiv:2311.16502   Arxiv:2401.11944   Arxiv:2403.04652   4-bit   Autotrain compatible   Endpoints compatible   Exl2   Llama   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Yi 34B 200K MAR2024 EXL2 4bpw Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Yi 34B 200K MAR2024 EXL2 4bpw Parameters and Internals

LLM NameYi 34B 200K MAR2024 EXL2 4bpw
Repository ๐Ÿค—https://huggingface.co/jmoney54378256438905/Yi-34B-200K-MAR2024-exl2-4bpw 
Model Size34b
Required VRAM18 GB
Updated2024-09-07
Maintainerjmoney54378256438905
Model Typellama
Model Files  8.5 GB: 1-of-3   8.6 GB: 2-of-3   0.9 GB: 3-of-3
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
Yi 34B 200K MAR2024 EXL2 4bpw (jmoney54378256438905/Yi-34B-200K-MAR2024-exl2-4bpw)

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Note: green Score (e.g. "73.2") means that the model is better than jmoney54378256438905/Yi-34B-200K-MAR2024-exl2-4bpw.

Rank the Yi 34B 200K MAR2024 EXL2 4bpw Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803