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Kunoichi 7B GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:quantized:sanjiwats... Base model:sanjiwatsuki/kunoic...   Gptq   Merge   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Kunoichi-7B-GPTQ 

Kunoichi 7B GPTQ Benchmarks

LLME Score: 0.1612
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kunoichi 7B GPTQ (TheBloke/Kunoichi-7B-GPTQ)

Kunoichi 7B GPTQ Parameters and Internals

Model Type 
mistral
Additional Notes 
Kunoichi-7B is a SLERP merger between Sanji Watsuki's previous RP model, Silicon-Maid-7B, and an unreleased model "Ninja-7B". The model is intended to be used with up to an 8k context window and can be used experimentally up to a 16k context window.
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NameKunoichi 7B GPTQ
Repository 🤗https://huggingface.co/TheBloke/Kunoichi-7B-GPTQ 
Model NameKunoichi 7B
Model CreatorSanji Watsuki
Base Model(s)  Kunoichi 7B   SanjiWatsuki/Kunoichi-7B
Model Size7b
Required VRAM4.2 GB
Updated2025-02-05
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Kunoichi-7B-GPTQ.

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Release v20241227
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