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Code Summary Llama 3.2 3B Instruct by bestler

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  Autotrain compatible Base model:mlx-community/llama... Base model:quantized:mlx-commu...   Conversational   De   En   Endpoints compatible   Es   F16   Facebook   Fr   Ggml   Gguf   Hi   Instruct   It   Llama   Llama-3   Meta   Mlx   Pt   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Th
Model Card on HF 🤗: https://huggingface.co/bestler/Code-Summary-Llama-3.2-3B-Instruct 

Code Summary Llama 3.2 3B Instruct Benchmarks

LLME Score: 0.24885
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Code Summary Llama 3.2 3B Instruct (bestler/Code-Summary-Llama-3.2-3B-Instruct)

Code Summary Llama 3.2 3B Instruct Parameters and Internals

LLM NameCode Summary Llama 3.2 3B Instruct
Repository 🤗https://huggingface.co/bestler/Code-Summary-Llama-3.2-3B-Instruct 
Base Model(s)  mlx-community/Llama-3.2-3B-Instruct   mlx-community/Llama-3.2-3B-Instruct
Model Size3b
Required VRAM6.5 GB
Updated2025-03-12
Maintainerbestler
Model Typellama
Instruction-BasedYes
Model Files  6.4 GB   5.4 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen de fr it pt hi es th
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|gguf
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.45.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than bestler/Code-Summary-Llama-3.2-3B-Instruct.

Rank the Code Summary Llama 3.2 3B Instruct 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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Release v20241227
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