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Buttercup 4x7B V2 Laser by Kquant03

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Buttercup 4x7B V2 Laser is an open-source language model by Kquant03. Features: 24.2b LLM, VRAM: 48.3GB, Context: 32K, License: apache-2.0, MoE, LLM Explorer Score: 0.12.

  Arxiv:2101.03961   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: 0.1206
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
Updated2026-04-02
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

Best Alternatives to Buttercup 4x7B V2 Laser

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Dzakwan MoE 4x7b Beta32K / 48.4 GB90720
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Mera Mix 4x7B32K / 48.3 GB835919
Calme 4x7B MoE V0.232K / 48.3 GB78902
Calme 4x7B MoE V0.132K / 48.3 GB80032
MixtureofMerges MoE 4x7b V532K / 48.3 GB81171
MixtureofMerges MoE 4x7b V432K / 48.3 GB90684
CognitiveFusion2 4x7B BF1632K / 48.3 GB84923
Proto Athena 4x7B32K / 48.4 GB50
Proto Athena V0.2 4x7B32K / 48.4 GB60
Note: green Score (e.g. "73.2") means that the model is better than Kquant03/Buttercup-4x7B-V2-laser.

Rank the Buttercup 4x7B V2 Laser Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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