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WestBeagle 7B by shadowml

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  Merged Model   Autotrain compatible Base model:mlabonne/neuralbeag... Base model:petrogpt/westseveru...   Conversational   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

WestBeagle 7B Benchmarks

ARC: 72.27 vs 96.7 (so35)-25.3%
HellaSwag: 88.29 vs 95.3 (gpt4)-7.4%
MMLU: 65.17 vs 88.3 (so35)-26.2%
TruthfulQA: 71.71 vs 59 (gpt4)21.5%
WinoGrande: 82 vs 87.5 (gpt4)-6.3%
GSM8K: 71.87 vs 96.4 (so35)-25.4%
LLME Score: 0.19763
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

WestBeagle 7B Parameters and Internals

LLM NameWestBeagle 7B
Repository 🤗https://huggingface.co/shadowml/WestBeagle-7B 
Base Model(s)  NeuralBeagle14 7B   FelixChao/WestSeverus-7B-DPO-v2   mlabonne/NeuralBeagle14-7B   FelixChao/WestSeverus-7B-DPO-v2
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-09-16
Maintainershadowml
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
WestBeagle 7B (shadowml/WestBeagle-7B)

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Note: green Score (e.g. "73.2") means that the model is better than shadowml/WestBeagle-7B.

Rank the WestBeagle 7B Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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