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