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Llama 3.2 MEDIT 3B O1 by mkurman

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  Autotrain compatible Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Conversational   Dataset:o1-open/openo1-sft   En   Endpoints compatible   Gguf   Instruct   Llama   O1   Quantized   Reasoning   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mkurman/llama-3.2-MEDIT-3B-o1 

Llama 3.2 MEDIT 3B O1 Benchmarks

MMLU Pro: 19.34
GPQA: 2.13
MUSR: 3
BBH: 20.82
IFEval: 43.82 vs 88 (so35)-50.2%
MATH Lvl 5: 13.07
LLME Score: 0.25306
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 MEDIT 3B O1 (mkurman/llama-3.2-MEDIT-3B-o1)
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Llama 3.2 MEDIT 3B O1 Parameters and Internals

LLM NameLlama 3.2 MEDIT 3B O1
Repository 🤗https://huggingface.co/mkurman/llama-3.2-MEDIT-3B-o1 
Base Model(s)  meta-llama/Llama-3.2-3B-Instruct   meta-llama/Llama-3.2-3B-Instruct
Model Size3b
Required VRAM7.2 GB
Updated2025-09-07
Maintainermkurman
Model Typellama
Instruction-BasedYes
Model Files  3.8 GB   5.0 GB: 1-of-2   2.2 GB: 2-of-2
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mkurman/llama-3.2-MEDIT-3B-o1.

Rank the Llama 3.2 MEDIT 3B O1 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 v20241124
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