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Llama3.2 3B 4bit by jebish7

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  4-bit   4bit   Autotrain compatible   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Llama   Pytorch   Quantized   Region:us   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/jebish7/llama3.2-3B-4bit 

Llama3.2 3B 4bit Benchmarks

LLME Score: 0.23451
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3.2 3B 4bit (jebish7/llama3.2-3B-4bit)

Llama3.2 3B 4bit Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameLlama3.2 3B 4bit
Repository 🤗https://huggingface.co/jebish7/llama3.2-3B-4bit 
Base Model(s)  unsloth/llama-3.2-3b-instruct-bnb-4bit   unsloth/llama-3.2-3b-instruct-bnb-4bit
Model Size3b
Required VRAM2.2 GB
Updated2024-12-21
Maintainerjebish7
Model Typellama
Instruction-BasedYes
Model Files  2.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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...truct Gptqmodel 4bit Vortex V3128K / 3.2 GB16124
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Note: green Score (e.g. "73.2") means that the model is better than jebish7/llama3.2-3B-4bit.

Rank the Llama3.2 3B 4bit Capabilities

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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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