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L3 8B Niitama V1 by Sao10K

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Model Card on HF 🤗: https://huggingface.co/Sao10K/L3-8B-Niitama-v1 

L3 8B Niitama V1 Benchmarks

LLME Score: 0.23279
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3 8B Niitama V1 (Sao10K/L3-8B-Niitama-v1)

L3 8B Niitama V1 Parameters and Internals

Additional Notes 
An experimental model using experimental methods. More detail on it: Tamamo and Niitama are made from the same data. Literally. The only thing that's changed is how they're shuffled and formatted. Yet, I get wildly different results. Interesting, eh? Surprising, or not so surprising, the L3 versions did better than the L3.1 versions. L3.1 felt like a mess.
Supported Languages 
en (English)
LLM NameL3 8B Niitama V1
Repository 🤗https://huggingface.co/Sao10K/L3-8B-Niitama-v1 
Model Size8b
Required VRAM16.1 GB
Updated2024-12-22
MaintainerSao10K
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
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.42.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Sao10K/L3-8B-Niitama-v1.

Rank the L3 8B Niitama V1 Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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