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Neuronal 7B Mlab by Kukedlc

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  Merged Model   Autotrain compatible Base model:mlabonne/neuraldare... Base model:mlabonne/neuralherm...   Endpoints compatible   Mistral   Mlabonne/neuraldaredevil-7b Mlabonne/neuralhermes-2.5-mist...   Region:us   Safetensors   Sharded   Tensorflow

Neuronal 7B Mlab Benchmarks

ARC: 69.97 vs 96.7 (so35)-27.6%
HellaSwag: 86.79 vs 95.3 (gpt4)-8.9%
MMLU: 64.51 vs 88.3 (so35)-26.9%
TruthfulQA: 63.36 vs 59 (gpt4)7.4%
WinoGrande: 81.06 vs 87.5 (gpt4)-7.4%
GSM8K: 68.69 vs 96.4 (so35)-28.7%
LLME Score: 0.19651
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Neuronal 7B Mlab Parameters and Internals

LLM NameNeuronal 7B Mlab
Repository 🤗https://huggingface.co/Kukedlc/neuronal-7b-Mlab 
Base Model(s)  NeuralDaredevil 7B   mlabonne/NeuralHermes-2.5-Mistral-7B   mlabonne/NeuralDaredevil-7B   mlabonne/NeuralHermes-2.5-Mistral-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-10-18
MaintainerKukedlc
Model Typemistral
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Neuronal 7B Mlab (Kukedlc/neuronal-7b-Mlab)

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Note: green Score (e.g. "73.2") means that the model is better than Kukedlc/neuronal-7b-Mlab.

Rank the Neuronal 7B Mlab Capabilities

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Release v2024072803
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