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ko-r1-7b-v2.0.3-GGUF/README.md
ModelHub XC 2dfe377e94 初始化项目,由ModelHub XC社区提供模型
Model: Melvin56/ko-r1-7b-v2.0.3-GGUF
Source: Original Platform
2026-09-03 03:34:16 +08:00

1.5 KiB

library_name, license, datasets, language, base_model, pipeline_tag
library_name license datasets language base_model pipeline_tag
transformers mit
OLAIR/Open-R1-Ko-SFT-v2.0
ko
OLAIR/ko-r1-7b-v2.0.3
text-generation

Melvin56/ko-r1-7b-v2.0.3-GGUF

Original Model : 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