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Hercules 6.1 Llama 3.1 8B by Locutusque

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  Autotrain compatible   Conversational Dataset:locutusque/hercules-v6...   En   Endpoints compatible   Llama   Model-index   Not-for-all-audiences   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/Locutusque/Hercules-6.1-Llama-3.1-8B 

Hercules 6.1 Llama 3.1 8B Benchmarks

MMLU Pro: 29.65
GPQA: 1.45
MUSR: 3.42
BBH: 24.15
IFEval: 60.07 vs 88 (so35)-31.7%
MATH Lvl 5: 16.92
LLME Score: 0.30645
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hercules 6.1 Llama 3.1 8B (Locutusque/Hercules-6.1-Llama-3.1-8B)

Hercules 6.1 Llama 3.1 8B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Specialized Chatbots, Instructional Assistants, Code Generation and Execution
Primary Use Cases:
Creating knowledgeable chatbots and conversational agents in scientific and technical fields, Supporting users with educational and step-by-step guidance in various disciplines, Facilitating code execution through function calls, aiding in software development and prototyping
Limitations:
Toxicity, Hallucinations and Factual Errors, Potential for Misuse
Supported Languages 
en (native), zh (native)
LLM NameHercules 6.1 Llama 3.1 8B
Repository 🤗https://huggingface.co/Locutusque/Hercules-6.1-Llama-3.1-8B 
Model Size8b
Required VRAM16 GB
Updated2024-12-21
MaintainerLocutusque
Model Typellama
Model Files  3.0 GB: 1-of-6   2.9 GB: 2-of-6   3.0 GB: 3-of-6   2.9 GB: 4-of-6   2.9 GB: 5-of-6   1.3 GB: 6-of-6
Supported Languagesen zh
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.45.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Locutusque/Hercules-6.1-Llama-3.1-8B.

Rank the Hercules 6.1 Llama 3.1 8B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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