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Franken Beagle 11B by vicgalle

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  Merged Model   Autotrain compatible Base model:finetune:mlabonne/n... Base model:mlabonne/neuralbeag...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/vicgalle/franken-Beagle-11B 

Franken Beagle 11B Benchmarks

LLME Score: 0.17172
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Franken Beagle 11B (vicgalle/franken-Beagle-11B)

Franken Beagle 11B Parameters and Internals

Additional Notes 
This model is a product of merging pre-trained language models using the passthrough merge method with bfloat16 data type.
Training Details 
Methodology:
The model was merged using the passthrough merge method with mergekit.
Model Architecture:
Merged model using passthrough method with layer range slicing from the base model.
LLM NameFranken Beagle 11B
Repository 🤗https://huggingface.co/vicgalle/franken-Beagle-11B 
Base Model(s)  NeuralBeagle14 7B   mlabonne/NeuralBeagle14-7B
Merged ModelYes
Model Size7b
Required VRAM21.5 GB
Updated2024-12-23
Maintainervicgalle
Model Typemistral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   1.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
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 vicgalle/franken-Beagle-11B.

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Release v20241217
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