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Llama 3.1 Mini Instruct by QuietImpostor

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Model Card on HF 🤗: https://huggingface.co/QuietImpostor/Llama-3.1-Mini-Instruct 

Llama 3.1 Mini Instruct Benchmarks

LLME Score: 0.23525
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 Mini Instruct (QuietImpostor/Llama-3.1-Mini-Instruct)

Llama 3.1 Mini Instruct Parameters and Internals

Model Type 
text-generation
Use Cases 
Limitations:
Model may exhibit biases present in its training data
Considerations:
Should be used with appropriate care and consideration.
Training Details 
Data Sources:
Claude 3 Opus, Claude 3.5 Sonnet, Gemma 2 9B, Llama 3 70B through Groq, Guanaco
Methodology:
LoRA (Low-Rank Adaptation)
LLM NameLlama 3.1 Mini Instruct
Repository 🤗https://huggingface.co/QuietImpostor/Llama-3.1-Mini-Instruct 
Model Size3b
Required VRAM6.1 GB
Updated2024-12-21
MaintainerQuietImpostor
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_247|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than QuietImpostor/Llama-3.1-Mini-Instruct.

Rank the Llama 3.1 Mini Instruct 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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