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