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Llama 3.2 3B Instruct CodeRev by baslak

 »  All LLMs  »  baslak  »  Llama 3.2 3B Instruct CodeRev   URL Share it on

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Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Dataset:m-a-p/code-feedback   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/baslak/Llama-3.2-3B-Instruct-CodeRev 

Llama 3.2 3B Instruct CodeRev Benchmarks

LLME Score: 0.1916
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 3B Instruct CodeRev (baslak/Llama-3.2-3B-Instruct-CodeRev)
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Llama 3.2 3B Instruct CodeRev Parameters and Internals

LLM NameLlama 3.2 3B Instruct CodeRev
Repository 🤗https://huggingface.co/baslak/Llama-3.2-3B-Instruct-CodeRev 
Base Model(s)  meta-llama/Llama-3.2-3B-Instruct   meta-llama/Llama-3.2-3B-Instruct
Model Size3b
Required VRAM6.5 GB
Updated2025-07-16
Maintainerbaslak
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.45.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

Best Alternatives to Llama 3.2 3B Instruct CodeRev

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Likes
Llama 3.2 3B Instruct128K / 6.5 GB16164011593
DeepSeek R1 Distill Llama 3B128K / 6.5 GB240215
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...lama 3.2 Rabbit Ko 3B Instruct128K / 6.5 GB230011
Llama 3.2 3B Bespoke Thought128K / 6.4 GB6403
Zeitgeist 3B V1128K / 6.5 GB1055
... 3.2 3B Math Instruct RE1 ORPO128K / 6.5 GB480
Llama 3.2 3B Instruct128K / 6.5 GB11275372
ReasoningCore 3B T1 1128K / 6.5 GB191
Llama 3.2 3B ToxicKod128K / 6.4 GB52
Note: green Score (e.g. "73.2") means that the model is better than baslak/Llama-3.2-3B-Instruct-CodeRev.

Rank the Llama 3.2 3B Instruct CodeRev 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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