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Buttercup 4x7B V2 Laser by Kquant03

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  Arxiv:2101.03961   Autotrain compatible   En   Endpoints compatible   Merge   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Kquant03/Buttercup-4x7B-V2-laser 

Buttercup 4x7B V2 Laser Benchmarks

LLME Score: 0.13817
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Buttercup 4x7B V2 Laser (Kquant03/Buttercup-4x7B-V2-laser)
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Buttercup 4x7B V2 Laser Parameters and Internals

Model Type 
MoE, Transformer
Use Cases 
Areas:
Roleplay, Research
Applications:
Commercial applications, MoE research
Primary Use Cases:
Roleplay
Limitations:
Memory requirements are high., Tendency to overfit during fine-tuning.
Additional Notes 
The router layer in the frankenMoE is not trained simultaneously.
Supported Languages 
en (Primary language used or supported.)
LLM NameButtercup 4x7B V2 Laser
Repository 🤗https://huggingface.co/Kquant03/Buttercup-4x7B-V2-laser 
Model Size24.2b
Required VRAM48.3 GB
Updated2025-09-23
MaintainerKquant03
Model Typemixtral
Model Files  9.9 GB: 1-of-5   9.9 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   8.5 GB: 5-of-5
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.0.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 Kquant03/Buttercup-4x7B-V2-laser.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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