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Komodo Llama 3.2 3B V2 Fp16 by suayptalha

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  4bit   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational Dataset:jeggers/competition ma...   De   En   Endpoints compatible   Es   Fp16   Fr   Hi   Instruct   It   Llama   Model-index   Pt   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Th   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/suayptalha/Komodo-Llama-3.2-3B-v2-fp16 

Komodo Llama 3.2 3B V2 Fp16 Benchmarks

MMLU Pro: 20.58
GPQA: 3.69
MUSR: 3.37
BBH: 20.2
IFEval: 63.41 vs 88 (so35)-27.9%
MATH Lvl 5: 6.27
LLME Score: 0.2993
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Komodo Llama 3.2 3B V2 Fp16 (suayptalha/Komodo-Llama-3.2-3B-v2-fp16)

Komodo Llama 3.2 3B V2 Fp16 Parameters and Internals

LLM NameKomodo Llama 3.2 3B V2 Fp16
Repository 🤗https://huggingface.co/suayptalha/Komodo-Llama-3.2-3B-v2-fp16 
Base Model(s)  meta-llama/Llama-3.2-3B-Instruct   meta-llama/Llama-3.2-3B-Instruct
Model Size3b
Required VRAM6.5 GB
Updated2025-02-05
Maintainersuayptalha
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 th pt es de fr it hi
Quantization Typefp16|4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.2
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 suayptalha/Komodo-Llama-3.2-3B-v2-fp16.

Rank the Komodo Llama 3.2 3B V2 Fp16 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  
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Multi-Language Support and Translation  

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Release v20241227
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