commit 799fb5f91a3a5dc3a1e1c2adf3c4cf215790c9df
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Fri Apr 24 23:08:33 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: N-Bot-Int/MistThena7BV2-GGUF
    Source: Original Platform

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diff --git a/README.md b/README.md
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+---
+base_model:
+- N-Bot-Int/MistThena7B-V2
+tags:
+- text-generation-inference
+- transformers
+- mistral
+- rp
+- gguf
+language:
+- en
+license: apache-2.0
+datasets:
+- N-Bot-Int/Iris-Uncensored-R2
+- N-Bot-Int/Millie-R1_DPO
+- N-Bot-Int/Millia-R1_DPO
+---
+# Support Us Through
+  - [![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/J3J61D8NHV)
+  - [https://ko-fi.com/nexusnetworkint](Official Ko-FI link!)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6633a73004501e16e7896b86/Ks9_kWvjksA3bG0sHe4Of.png)
+# GGUF Version
+  **GGUF** with Quants! Allowing you to run models using KoboldCPP and other AI Environments!
+
+
+# Quantizations:
+| Quant Type    | Benefits                                          | Cons                                              |
+|---------------|---------------------------------------------------|---------------------------------------------------|
+| **Q4_K_M**    | ✅ Smallest size (fastest inference)              | ❌ Lowest accuracy compared to other quants      |
+|               | ✅ Requires the least VRAM/RAM                    | ❌ May struggle with complex reasoning           |
+|               | ✅ Ideal for edge devices & low-resource setups   | ❌ Can produce slightly degraded text quality    |
+| **Q5_K_M**    | ✅ Better accuracy than Q4, while still compact   | ❌ Slightly larger model size than Q4            |
+|               | ✅ Good balance between speed and precision       | ❌ Needs a bit more VRAM than Q4                 |
+|               | ✅ Works well on mid-range GPUs                   | ❌ Still not as accurate as higher-bit models    |
+| **Q8_0**      | ✅ Highest accuracy (closest to full model)       | ❌ Requires significantly more VRAM/RAM          |
+|               | ✅ Best for complex reasoning & detailed outputs  | ❌ Slower inference compared to Q4 & Q5          |
+|               | ✅ Suitable for high-end GPUs & serious workloads | ❌ Larger file size (takes more storage)         |
+
+# Model Details:
+  Read the Model details on huggingface
+  [Model Detail Here!](https://huggingface.co/N-Bot-Int/MistThena7B-V2)
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diff --git a/config.json b/config.json
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+{
+    "model_type": "mistral"
+}
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