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Buttercup 4x7B 6bpw EXL2 by Kooten

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Buttercup 4x7B 6bpw EXL2 is an open-source language model by Kooten. Features: 7b LLM, VRAM: 18.4GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.12.

  En   Endpoints compatible   Exl2   Merge   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Kooten/Buttercup-4x7B-6bpw-exl2 

Buttercup 4x7B 6bpw EXL2 Benchmarks

LLME Score: 0.11576
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 (Kooten/Buttercup-4x7B-6bpw-exl2)
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Buttercup 4x7B 6bpw EXL2 Parameters and Internals

Model Type 
moe, merge
Additional Notes 
Contact Kooten on discord.
Supported Languages 
en (High)
Input Output 
Input Format:
Unclear
LLM NameButtercup 4x7B 6bpw EXL2
Repository 🤗https://huggingface.co/Kooten/Buttercup-4x7B-6bpw-exl2 
Model Size7b
Required VRAM18.4 GB
Updated2026-03-29
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

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

Rank the Buttercup 4x7B 6bpw EXL2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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