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NeuBeagle 7B by mlabonne

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  Merged Model   Autotrain compatible Base model:eren23/dpo-binarize... Base model:eren23/dpo-binarize...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlabonne/NeuBeagle-7B 

NeuBeagle 7B Benchmarks

LLME Score: 0.17471
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuBeagle 7B (mlabonne/NeuBeagle-7B)

NeuBeagle 7B Parameters and Internals

Additional Notes 
NeuBeagle-7B is a merged model using LazyMergekit.
LLM NameNeuBeagle 7B
Repository 🤗https://huggingface.co/mlabonne/NeuBeagle-7B 
Base Model(s)  DPO Binarized NeuralTrix 7B   DPO Binarized NeutrixOmnibe 7B   eren23/dpo-binarized-NeuralTrix-7B   eren23/dpo-binarized-NeutrixOmnibe-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-12-22
Maintainermlabonne
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
Vocabulary Size32000
Torch Data Typebfloat16

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

Rank the NeuBeagle 7B Capabilities

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Instruction Following and Task Automation  
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Release v20241217
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