Yi 34B 200K 5.0bpw H6 EXL2 by LoneStriker

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  Autotrain compatible   Custom code   Exl2   Pytorch   Quantized   Region:us   Sharded   Tensorflow   Yi

Yi 34B 200K 5.0bpw H6 EXL2 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 5.0bpw H6 EXL2 Parameters and Internals

Model Type 
Large Language Model
Supported Languages 
English (Bilingual), Chinese (Bilingual)
Release Notes 
Version:
Yi-6B-200K
Date:
2023/11/06
Notes:
Base model release with 200K context length
Version:
Yi-6B
Date:
2023/11/02
Notes:
Base model release
LLM NameYi 34B 200K 5.0bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Yi-34B-200K-5.0bpw-h6-exl2 
Model Size34b
Required VRAM22.3 GB
Updated2024-11-21
MaintainerLoneStriker
Model TypeYi
Model Files  8.6 GB: 1-of-3   8.6 GB: 2-of-3   5.1 GB: 3-of-3
Quantization Typeexl2
Model ArchitectureYiForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.34.0
Tokenizer ClassYiTokenizer
Vocabulary Size64000
Torch Data Typebfloat16
Yi 34B 200K 5.0bpw H6 EXL2 (LoneStriker/Yi-34B-200K-5.0bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Yi-34B-200K-5.0bpw-h6-exl2.

Rank the Yi 34B 200K 5.0bpw H6 EXL2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110