Buttercup 4x7B 6bpw EXL2 by Kooten

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Buttercup 4x7B 6bpw EXL2 Benchmarks

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

Buttercup 4x7B 6bpw EXL2 Parameters and Internals

LLM NameButtercup 4x7B 6bpw EXL2
Repository ๐Ÿค—https://huggingface.co/Kooten/Buttercup-4x7B-6bpw-exl2 
Model Size7b
Required VRAM18.4 GB
Updated2024-10-18
MaintainerKooten
Model Typemixtral
Model Files  8.6 GB: 1-of-3   8.6 GB: 2-of-3   1.2 GB: 3-of-3
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16
Buttercup 4x7B 6bpw EXL2 (Kooten/Buttercup-4x7B-6bpw-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than Kooten/Buttercup-4x7B-6bpw-exl2.

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