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Llama 3 Reactor by Corianas

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  Autotrain compatible   En   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Corianas/llama-3-reactor 

Llama 3 Reactor Benchmarks

MMLU Pro: 20.01
GPQA: 6.38
MUSR: 8.01
BBH: 21.89
IFEval: 23 vs 88 (so35)-73.9%
MATH Lvl 5: 4.68
LLME Score: 0.22586
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Reactor (Corianas/llama-3-reactor)

Llama 3 Reactor Parameters and Internals

Model Type 
text generation
Supported Languages 
en (high)
Training Details 
Data Sources:
meta-llama/Meta-Llama-3-8B
Methodology:
Re-act style training leveraging regex to parse and reconstruct datasets
LLM NameLlama 3 Reactor
Repository 🤗https://huggingface.co/Corianas/llama-3-reactor 
Model Size8b
Required VRAM16.1 GB
Updated2025-05-15
MaintainerCorianas
Model Typellama
Model Files  10.0 GB: 1-of-2   6.1 GB: 2-of-2   10.0 GB: 1-of-2   6.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.31.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Corianas/llama-3-reactor.

Rank the Llama 3 Reactor 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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Release v20241227
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