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Llama 3.2 1B Instruct by unsloth

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Model Card on HF 🤗: https://huggingface.co/unsloth/Llama-3.2-1B-Instruct 

Llama 3.2 1B Instruct Benchmarks

LLME Score: 0.35555
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.2 1B Instruct (unsloth/Llama-3.2-1B-Instruct)

Llama 3.2 1B Instruct Parameters and Internals

Model Type 
auto-regressive, transformer, text generation
Use Cases 
Areas:
multilingual dialogue use cases
Primary Use Cases:
agentic retrieval, summarization tasks
Additional Notes 
Future versions may be released that improve model capabilities and safety.
Supported Languages 
English (official), German (official), French (official), Italian (official), Portuguese (official), Hindi (official), Spanish (official), Thai (official)
Training Details 
Methodology:
supervised fine-tuning, reinforcement learning with human feedback (RLHF)
Model Architecture:
optimized transformer architecture
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
Release Notes 
Date:
Sept 25, 2024
Notes:
This is a static model trained on an offline dataset.
LLM NameLlama 3.2 1B Instruct
Repository 🤗https://huggingface.co/unsloth/Llama-3.2-1B-Instruct 
Base Model(s)  meta-llama/Llama-3.2-1B-Instruct   meta-llama/Llama-3.2-1B-Instruct
Model Size1b
Required VRAM2.5 GB
Updated2024-12-21
Maintainerunsloth
Model Typellama
Instruction-BasedYes
Model Files  2.5 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/Llama-3.2-1B-Instruct.

Rank the Llama 3.2 1B 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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