Llama 3.2 3B Instruct Fine Tuned by belyakoff

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Llama 3.2 3B Instruct Fine Tuned is an open-source language model by belyakoff. Features: 3b LLM, VRAM: 12.8GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.16.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Code   Conversational Dataset:vikhrmodels/grandmaste... Dataset:vikhrmodels/grounded-r...   En   Endpoints compatible   Instruct   Llama   Question answering   Rag   Region:us   Ru   Safetensors   Sharded   Tensorflow

Llama 3.2 3B Instruct Fine Tuned Benchmarks

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 Fine Tuned (belyakoff/llama-3.2-3b-instruct-fine-tuned)
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Llama 3.2 3B Instruct Fine Tuned Parameters and Internals

LLM NameLlama 3.2 3B Instruct Fine Tuned
Repository ๐Ÿค—https://huggingface.co/belyakoff/llama-3.2-3b-instruct-fine-tuned 
Base Model(s)  meta-llama/Llama-3.2-3B-Instruct   meta-llama/Llama-3.2-3B-Instruct
Model Size3b
Required VRAM12.8 GB
Updated2026-01-28
Maintainerbelyakoff
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   4.9 GB: 2-of-3   2.9 GB: 3-of-3
Supported Languagesru en
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_0|>
Vocabulary Size128256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than belyakoff/llama-3.2-3b-instruct-fine-tuned.

Rank the Llama 3.2 3B Instruct Fine Tuned 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 v20260328a