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MUSE News Target by swj0419

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MUSE News Target is an open-source language model by swj0419. Features: 6.7b LLM, VRAM: 27.1GB, Context: 2K, LLM Explorer Score: 0.16.

  Arxiv:1910.09700   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/muse-bench/MUSE-news_target 

MUSE News Target Benchmarks

LLME Score: 0.15601
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MUSE News Target (muse-bench/MUSE-news_target)
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MUSE News Target Parameters and Internals

LLM NameMUSE News Target
Repository 🤗https://huggingface.co/muse-bench/MUSE-news_target 
Model Size6.7b
Required VRAM27.1 GB
Updated2026-06-28
Maintainerswj0419
Model Typellama
Model Files  4.8 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   2.7 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.41.1
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than muse-bench/MUSE-news_target.

Rank the MUSE News Target 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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