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West Ramen 7Bx4 by mayacinka

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West Ramen 7Bx4 is an open-source language model by mayacinka. Features: 24.2b LLM, VRAM: 48.7GB, Context: 32K, License: apache-2.0, MoE, Instruction-Based, LLM Explorer Score: 0.13, Arc: 67.6, HellaSwag: 85.5, MMLU: 62.7, GSM8K: 58.

  Conversational   Endpoints compatible   Instruct   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mayacinka/West-Ramen-7Bx4 

West Ramen 7Bx4 Benchmarks

ARC: 67.58 vs 96.7 (so35)-30.1%
HellaSwag: 85.52 vs 95.3 (gpt4)-10.3%
MMLU: 62.69 vs 88.3 (so35)-29%
GSM8K: 58 vs 96.4 (so35)-39.8%
LLME Score: 0.13008
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
West Ramen 7Bx4 (mayacinka/West-Ramen-7Bx4)
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West Ramen 7Bx4 Parameters and Internals

Model Type 
text-generation
LLM NameWest Ramen 7Bx4
Repository 🤗https://huggingface.co/mayacinka/West-Ramen-7Bx4 
Model Size24.2b
Required VRAM48.7 GB
Updated2026-05-26
Maintainermayacinka
Model Typemixtral
Instruction-BasedYes
Model Files  1.9 GB: 1-of-25   1.9 GB: 2-of-25   2.0 GB: 3-of-25   2.0 GB: 4-of-25   1.9 GB: 5-of-25   2.0 GB: 6-of-25   2.0 GB: 7-of-25   1.9 GB: 8-of-25   2.0 GB: 9-of-25   2.0 GB: 10-of-25   2.0 GB: 11-of-25   1.9 GB: 12-of-25   2.0 GB: 13-of-25   2.0 GB: 14-of-25   1.9 GB: 15-of-25   2.0 GB: 16-of-25   2.0 GB: 17-of-25   1.9 GB: 18-of-25   2.0 GB: 19-of-25   2.0 GB: 20-of-25   1.9 GB: 21-of-25   2.0 GB: 22-of-25   2.0 GB: 23-of-25   2.0 GB: 24-of-25   1.5 GB: 25-of-25
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.0
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 mayacinka/West-Ramen-7Bx4.

Rank the West Ramen 7Bx4 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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