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Orthocopter 8B by jeiku

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  Merged Model   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jeiku/Orthocopter_8B 

Orthocopter 8B Benchmarks

ARC: 60.24 vs 96.7 (so35)-37.7%
HellaSwag: 77.85 vs 95.3 (gpt4)-18.3%
MMLU: 64.67 vs 88.3 (so35)-26.8%
TruthfulQA: 50.01 vs 59 (gpt4)-15.2%
WinoGrande: 74.66 vs 87.5 (gpt4)-14.7%
GSM8K: 67.17 vs 96.4 (so35)-30.3%
LLME Score: 0.21371
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Orthocopter 8B (jeiku/Orthocopter_8B)

Orthocopter 8B Parameters and Internals

Additional Notes 
This model has improved features due to two handwritten datasets applied over the base model, enhancing personality and responsiveness without refusals.
LLM NameOrthocopter 8B
Repository 🤗https://huggingface.co/jeiku/Orthocopter_8B 
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2024-12-22
Maintainerjeiku
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
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than jeiku/Orthocopter_8B.

Rank the Orthocopter 8B Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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