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Llama 3.1 Argunaut 1 8B SFT by DebateLabKIT

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Model Card on HF 🤗: https://huggingface.co/DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT 

Llama 3.1 Argunaut 1 8B SFT Benchmarks

MMLU Pro: 27.47
GPQA: 4.47
MUSR: 15.85
BBH: 27.19
IFEval: 55.19 vs 88 (so35)-37.3%
MATH Lvl 5: 14.5
LLME Score: 0.28871
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 Argunaut 1 8B SFT (DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT)
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Llama 3.1 Argunaut 1 8B SFT Parameters and Internals

LLM NameLlama 3.1 Argunaut 1 8B SFT
Repository 🤗https://huggingface.co/DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT 
Base Model(s)  meta-llama/Llama-3.1-8B-Instruct   meta-llama/Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-06-17
MaintainerDebateLabKIT
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.46.3
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 DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT.

Rank the Llama 3.1 Argunaut 1 8B SFT Capabilities

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Instruction Following and Task Automation  
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Release v20241124
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