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Kunocchini 7B 128K Test by Nitral-AI

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  Merged Model   Alpaca   Autotrain compatible Base model:epiculous/fett-ucci... Base model:sanjiwatsuki/kunoic...   Conversational   Custom code   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Nitral-AI/Kunocchini-7b-128k-test 

Kunocchini 7B 128K Test Benchmarks

LLME Score: 0.1679
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kunocchini 7B 128K Test (Nitral-AI/Kunocchini-7b-128k-test)

Kunocchini 7B 128K Test Parameters and Internals

Model Type 
text-generation
Additional Notes 
The Kunocchini model is a merge of SanjiWatsuki/Kunoichi-DPO-v2-7B and Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context using the slerp merge method. It operates in bfloat16 dtype.
LLM NameKunocchini 7B 128K Test
Repository 🤗https://huggingface.co/Nitral-AI/Kunocchini-7b-128k-test 
Base Model(s)  Kunoichi DPO V2 7B   ...ne Long Noodle 7B 120K Context   SanjiWatsuki/Kunoichi-DPO-v2-7B   Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-05
MaintainerNitral-AI
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
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Nitral-AI/Kunocchini-7b-128k-test.

Rank the Kunocchini 7B 128K Test Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
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Release v20241227
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