Flexan/kkenna-tsundere-qwen-0.6-GGUF
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Model: Flexan/kkenna-tsundere-qwen-0.6-GGUF
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---
base_model: kkenna/tsundere-qwen-0.6
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3
license: apache-2.0
language:
- en
---
# GGUF Files for tsundere-qwen-0.6
These are the GGUF files for [kkenna/tsundere-qwen-0.6](https://huggingface.co/kkenna/tsundere-qwen-0.6).
## Downloads
| GGUF Link | Quantization | Description |
| ---- | ----- | ----------- |
| [Download](https://huggingface.co/Flexan/kkenna-tsundere-qwen-0.6-GGUF/resolve/main/tsundere-qwen-0.6.Q2_K.gguf) | Q2_K | Lowest quality |
| [Download](https://huggingface.co/Flexan/kkenna-tsundere-qwen-0.6-GGUF/resolve/main/tsundere-qwen-0.6.Q3_K_S.gguf) | Q3_K_S | |
| [Download](https://huggingface.co/Flexan/kkenna-tsundere-qwen-0.6-GGUF/resolve/main/tsundere-qwen-0.6.IQ3_S.gguf) | IQ3_S | Integer quant, preferable over Q3_K_S |
| [Download](https://huggingface.co/Flexan/kkenna-tsundere-qwen-0.6-GGUF/resolve/main/tsundere-qwen-0.6.IQ3_M.gguf) | IQ3_M | Integer quant |
| [Download](https://huggingface.co/Flexan/kkenna-tsundere-qwen-0.6-GGUF/resolve/main/tsundere-qwen-0.6.Q3_K_M.gguf) | Q3_K_M | |
| [Download](https://huggingface.co/Flexan/kkenna-tsundere-qwen-0.6-GGUF/resolve/main/tsundere-qwen-0.6.Q3_K_L.gguf) | Q3_K_L | |
| [Download](https://huggingface.co/Flexan/kkenna-tsundere-qwen-0.6-GGUF/resolve/main/tsundere-qwen-0.6.IQ4_XS.gguf) | IQ4_XS | Integer quant |
| [Download](https://huggingface.co/Flexan/kkenna-tsundere-qwen-0.6-GGUF/resolve/main/tsundere-qwen-0.6.Q4_K_S.gguf) | Q4_K_S | Fast with good performance |
| [Download](https://huggingface.co/Flexan/kkenna-tsundere-qwen-0.6-GGUF/resolve/main/tsundere-qwen-0.6.Q4_K_M.gguf) | Q4_K_M | **Recommended:** Perfect mix of speed and performance |
| [Download](https://huggingface.co/Flexan/kkenna-tsundere-qwen-0.6-GGUF/resolve/main/tsundere-qwen-0.6.Q5_K_S.gguf) | Q5_K_S | |
| [Download](https://huggingface.co/Flexan/kkenna-tsundere-qwen-0.6-GGUF/resolve/main/tsundere-qwen-0.6.Q5_K_M.gguf) | Q5_K_M | |
| [Download](https://huggingface.co/Flexan/kkenna-tsundere-qwen-0.6-GGUF/resolve/main/tsundere-qwen-0.6.Q6_K.gguf) | Q6_K | Very good quality |
| [Download](https://huggingface.co/Flexan/kkenna-tsundere-qwen-0.6-GGUF/resolve/main/tsundere-qwen-0.6.Q8_0.gguf) | Q8_0 | Best quality |
| [Download](https://huggingface.co/Flexan/kkenna-tsundere-qwen-0.6-GGUF/resolve/main/tsundere-qwen-0.6.f16.gguf) | f16 | Full precision, don't bother; use a quant |
## Note from Flexan
I provide GGUFs and quantizations of publicly available models that do not have a GGUF equivalent available yet,
usually for models **I deem interesting and wish to try out**.
If there are some quants missing that you'd like me to add, you may request one in the community tab.
If you want to request a public model to be converted, you can also request that in the community tab.
If you have questions regarding this model, please refer to [the original model repo](https://huggingface.co/kkenna/tsundere-qwen-0.6).
You can find more info about me and what I do [here](https://huggingface.co/Flexan/Flexan).
# Uploaded finetuned model
- **Developed by:** kkenna
- **License:** apache-2.0
- **Finetuned from model :** unsloth/qwen3-0.6b-unsloth-bnb-4bit
This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)