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Fuselage 8B by lodrick-the-lafted

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/lodrick-the-lafted/Fuselage-8B 

Fuselage 8B Benchmarks

ARC: 60.07 vs 96.7 (so35)-37.9%
HellaSwag: 77.71 vs 95.3 (gpt4)-18.5%
MMLU: 64.96 vs 88.3 (so35)-26.4%
TruthfulQA: 50.33 vs 59 (gpt4)-14.7%
WinoGrande: 74.74 vs 87.5 (gpt4)-14.6%
GSM8K: 65.43 vs 96.4 (so35)-32.1%
LLME Score: 0.2006
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fuselage 8B (lodrick-the-lafted/Fuselage-8B)

Fuselage 8B Parameters and Internals

Additional Notes 
Extra ablations used: harmless dataset was OpusStories; harmful dataset was llm-attacks.
LLM NameFuselage 8B
Repository 🤗https://huggingface.co/lodrick-the-lafted/Fuselage-8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainerlodrick-the-lafted
Model Typellama
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
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than lodrick-the-lafted/Fuselage-8B.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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