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Artificium Llama3.1 8B 001 by AGI-0

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Model Card on HF 🤗: https://huggingface.co/AGI-0/Artificium-llama3.1-8B-001 

Artificium Llama3.1 8B 001 Benchmarks

MMLU Pro: 24.24
GPQA: 2.13
MUSR: 5.17
BBH: 19.35
IFEval: 52.48 vs 88 (so35)-40.4%
MATH Lvl 5: 11.03
LLME Score: 0.29337
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Artificium Llama3.1 8B 001 (AGI-0/Artificium-llama3.1-8B-001)

Artificium Llama3.1 8B 001 Parameters and Internals

Additional Notes 
The model was set aside initially due to a lack of resources for benchmark testing. It was later published due to the release of a similar model.
Training Details 
Methodology:
similar approach to mattshumer/Reflection-Llama-3.1-70B
Training Time:
22 days
Hardware Used:
Colab T4 GPU
Release Notes 
Notes:
Created using a similar approach to mattshumer/Reflection-Llama-3.1-70B and trained for free.
LLM NameArtificium Llama3.1 8B 001
Repository 🤗https://huggingface.co/AGI-0/Artificium-llama3.1-8B-001 
Model Size8b
Required VRAM16.1 GB
Updated2024-11-20
MaintainerAGI-0
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
Licenseunknown
Context Length131072
Model Max Length131072
Transformers Version4.45.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than AGI-0/Artificium-llama3.1-8B-001.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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