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ko-r1-7b-v2.0.3-GGUF/README.md

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---
library_name: transformers
license: mit
datasets:
- OLAIR/Open-R1-Ko-SFT-v2.0
language:
- ko
base_model:
- OLAIR/ko-r1-7b-v2.0.3
pipeline_tag: text-generation
---
# Melvin56/ko-r1-7b-v2.0.3-GGUF
Original Model : [OLAIR/ko-r1-7b-v2.0.3](https://huggingface.co/OLAIR/ko-r1-7b-v2.0.3)
All quants are made using the imatrix.
| Model | Size (GB) |
|:-------------------------------------------------|:-------------:|
| Q2_K_S | 2.83 |
| Q2_K | 3.01 |
| Q3_K_M | 3.81 |
| Q3_K_L | 4.09 |
| Q4_K_M | 4.68 |
| Q5_K_M | 5.44 |
| Q6_K | 6.25 |
| Q8_0 | 8.1 |
| F16 | 15.2 |
| | CPU (AVX2) | CPU (ARM NEON) | Metal | cuBLAS | rocBLAS | SYCL | CLBlast | Vulkan | Kompute |
| :------------ | :---------: | :------------: | :---: | :----: | :-----: | :---: | :------: | :----: | :------: |
| K-quants | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ 🐢5 | ✅ 🐢5 | ❌ |
| I-quants | ✅ 🐢4 | ✅ 🐢4 | ✅ 🐢4 | ✅ | ✅ | Partial¹ | ❌ | ❌ | ❌ |
```
✅: feature works
🚫: feature does not work
❓: unknown, please contribute if you can test it youself
🐢: feature is slow
¹: IQ3_S and IQ1_S, see #5886
²: Only with -ngl 0
³: Inference is 50% slower
⁴: Slower than K-quants of comparable size
⁵: Slower than cuBLAS/rocBLAS on similar cards
⁶: Only q8_0 and iq4_nl
```