Yi 6B Spicyboros 3.1 3.0bpw H6 EXL2 by LoneStriker

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  Autotrain compatible   Base model:01-ai/yi-6b Base model:finetune:01-ai/yi-6...   Custom code   Dataset:unalignment/spicy-3.1   Exl2   Finetuned   Pytorch   Quantized   Region:us   Yi   Yi-6b

Yi 6B Spicyboros 3.1 3.0bpw 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 6B Spicyboros 3.1 3.0bpw H6 EXL2 Parameters and Internals

LLM NameYi 6B Spicyboros 3.1 3.0bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Yi-6B-Spicyboros-3.1-3.0bpw-h6-exl2 
Base Model(s)  Yi 6B   01-ai/Yi-6B
Model Size6b
Required VRAM2.8 GB
Updated2024-09-07
MaintainerLoneStriker
Model TypeYi
Model Files  2.8 GB
Quantization Typeexl2
Model ArchitectureYiForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size64002
Torch Data Typefloat16
Yi 6B Spicyboros 3.1 3.0bpw H6 EXL2 (LoneStriker/Yi-6B-Spicyboros-3.1-3.0bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Yi-6B-Spicyboros-3.1-3.0bpw-h6-exl2.

Rank the Yi 6B Spicyboros 3.1 3.0bpw H6 EXL2 Capabilities

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