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Nyan Stunna 7B by Nitral-AI

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  Merged Model   Autotrain compatible Base model:arlineka/kittynyans... Base model:nitral-ai/kukulstan...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Nyan Stunna 7B Benchmarks

ARC: 66.38 vs 96.7 (so35)-31.4%
HellaSwag: 85.56 vs 95.3 (gpt4)-10.2%
MMLU: 64.58 vs 88.3 (so35)-26.9%
TruthfulQA: 60.06 vs 59 (gpt4)1.8%
WinoGrande: 79.08 vs 87.5 (gpt4)-9.6%
GSM8K: 55.72 vs 96.4 (so35)-42.2%
LLME Score: 0.22373
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Nyan Stunna 7B Parameters and Internals

LLM NameNyan Stunna 7B
Repository 🤗https://huggingface.co/Nitral-AI/Nyan-Stunna-7B 
Base Model(s)  KittyNyanster V1   KukulStanta 7B   arlineka/KittyNyanster-v1   Nitral-AI/KukulStanta-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-09-16
MaintainerNitral-AI
Model Typemistral
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.9 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Nyan Stunna 7B (Nitral-AI/Nyan-Stunna-7B)

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Note: green Score (e.g. "73.2") means that the model is better than Nitral-AI/Nyan-Stunna-7B.

Rank the Nyan Stunna 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v2024072803
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