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KukulStanta 7B by Nitral-AI

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  Merged Model   Autotrain compatible   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

KukulStanta 7B Benchmarks

ARC: 68.43 vs 96.7 (so35)-29.2%
HellaSwag: 86.37 vs 95.3 (gpt4)-9.4%
MMLU: 65 vs 88.3 (so35)-26.4%
TruthfulQA: 62.19 vs 59 (gpt4)5.4%
WinoGrande: 80.03 vs 87.5 (gpt4)-8.5%
GSM8K: 63.68 vs 96.4 (so35)-33.9%
LLME Score: 0.21366
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

KukulStanta 7B Parameters and Internals

LLM NameKukulStanta 7B
Repository 🤗https://huggingface.co/Nitral-AI/KukulStanta-7B 
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-10-18
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
KukulStanta 7B (Nitral-AI/KukulStanta-7B)

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

Rank the KukulStanta 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Multi-Language Support and Translation  

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Release v2024072803
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