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FineTome Llama3.2 3B 1002 by NotASI

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FineTome Llama3.2 3B 1002 is an open-source language model by NotASI. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.2, Quantized, Instruction-Based, LLM Explorer Score: 0.2.

  4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3.2-3...   Conversational   Dataset:mlabonne/finetome-100k   En   Endpoints compatible   Instruct   Llama   Llama-3   Model-index   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/NotASI/FineTome-Llama3.2-3B-1002 

FineTome Llama3.2 3B 1002 Benchmarks

MMLU Pro: 15.96
GPQA: 0.11
MUSR: 3.96
BBH: 19.52
IFEval: 54.74 vs 88 (so35)-37.8%
MATH Lvl 5: 6.27
LLME Score: 0.20273
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FineTome Llama3.2 3B 1002 (NotASI/FineTome-Llama3.2-3B-1002)
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FineTome Llama3.2 3B 1002 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
text generation, inference
Additional Notes 
This model was trained using the Unsloth and Huggingface's TRL library, significantly optimizing training speed.
Training Details 
Data Sources:
mlabonne/FineTome-100k
Methodology:
rslora + qlora
Training Time:
2 epochs
Hardware Used:
Unsloth, Huggingface's TRL library
LLM NameFineTome Llama3.2 3B 1002
Repository 🤗https://huggingface.co/NotASI/FineTome-Llama3.2-3B-1002 
Base Model(s)  unsloth/Llama-3.2-3B-Instruct-bnb-4bit   unsloth/Llama-3.2-3B-Instruct-bnb-4bit
Model Size3b
Required VRAM6.5 GB
Updated2026-05-04
MaintainerNotASI
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2   5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
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 Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than NotASI/FineTome-Llama3.2-3B-1002.

Rank the FineTome Llama3.2 3B 1002 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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