Kuno Kunoichi V1 DPO V2 SLERP 7B by grimjim

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Kuno Kunoichi V1 DPO V2 SLERP 7B is an open-source language model by grimjim. Features: 7b LLM, VRAM: 14.4GB, Context: 8K, License: cc-by-nc-4.0, Merged, LLM Explorer Score: 0.13, Arc: 69.1, HellaSwag: 87.3, MMLU: 64.8, GSM8K: 66.7.

  Merged Model Base model:sanjiwatsuki/kunoic... Base model:sanjiwatsuki/kunoic...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Kuno Kunoichi V1 DPO V2 SLERP 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Kuno Kunoichi V1 DPO V2 SLERP 7B Parameters and Internals

Additional Notes 
kuno-kunoichi-v1-DPO-v2-SLERP-7B is a merge of pre-trained language models using mergekit. It supports ChatML and Alpaca format prompts.
LLM NameKuno Kunoichi V1 DPO V2 SLERP 7B
Repository 🤗https://huggingface.co/grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B 
Base Model(s)  Kunoichi 7B   Kunoichi DPO V2 7B   SanjiWatsuki/Kunoichi-7B   SanjiWatsuki/Kunoichi-DPO-v2-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-05-03
Maintainergrimjim
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B.

Rank the Kuno Kunoichi V1 DPO V2 SLERP 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v20260328a