Yi 34B 200K 4.65bpw H6 EXL2 by LoneStriker

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

Yi 34B 200K 4.65bpw 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 4.65bpw H6 EXL2 Parameters and Internals

LLM NameYi 34B 200K 4.65bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Yi-34B-200K-4.65bpw-h6-exl2 
Model Size34b
Required VRAM20.8 GB
Updated2024-09-07
MaintainerLoneStriker
Model TypeYi
Model Files  8.6 GB: 1-of-3   8.6 GB: 2-of-3   3.6 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 4.65bpw H6 EXL2 (LoneStriker/Yi-34B-200K-4.65bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Yi-34B-200K-4.65bpw-h6-exl2.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803