Kimina-Prover-AI-MO-GGUF
The Kimina-Prover model family—comprising Kimina-Prover-Distill-0.6B, Kimina-Prover-RL-0.6B, Kimina-Prover-Distill-1.7B, and Kimina-Prover-RL-1.7B—are advanced theorem-proving language models developed by Project Numina and Kimi teams for rigorous, competition-style mathematical reasoning in Lean 4. The "Distill" variants (0.6B and 1.7B) are distilled from the much larger Kimina-Prover-72B, leveraging large-scale reinforcement learning to efficiently capture high performance in a smaller size: for example, Distill-0.6B achieves 68.85% Pass@32 on MiniF2F-test, while Distill-1.7B reaches 72.95%. The "RL" versions are fine-tuned further by reinforcement learning for enhanced reasoning ability, with RL-0.6B improving to 71.3% Pass@32 and RL-1.7B attaining up to 76.63% Pass@32, making these models state-of-the-art for formal theorem proving tasks.
Kimina-Prover model family (GGUF Format)
| Model Name | Link (model dir./) |
|---|---|
| Kimina-Prover-Distill-0.6B-GGUF | HF Repo↗ |
| Kimina-Prover-RL-0.6B-GGUF | HF Repo↗ |
| Kimina-Prover-Distill-1.7B-GGUF | HF Repo↗ |
| Kimina-Prover-RL-1.7B-GGUF | HF Repo↗ |
| Kimina-Prover-Distill-8B-GGUF | HF Repo↗ |
Model Files
Kimina-Prover-Distill-0.6B
| File Name | Quant Type | File Size |
|---|---|---|
| Kimina-Prover-Distill-0.6B.BF16.gguf | BF16 | 1.2 GB |
| Kimina-Prover-Distill-0.6B.F16.gguf | F16 | 1.2 GB |
| Kimina-Prover-Distill-0.6B.F32.gguf | F32 | 2.39 GB |
| Kimina-Prover-Distill-0.6B.Q2_K.gguf | Q2_K | 296 MB |
| Kimina-Prover-Distill-0.6B.Q3_K_L.gguf | Q3_K_L | 368 MB |
| Kimina-Prover-Distill-0.6B.Q3_K_M.gguf | Q3_K_M | 347 MB |
| Kimina-Prover-Distill-0.6B.Q3_K_S.gguf | Q3_K_S | 323 MB |
| Kimina-Prover-Distill-0.6B.Q4_0.gguf | Q4_0 | 382 MB |
| Kimina-Prover-Distill-0.6B.Q4_1.gguf | Q4_1 | 409 MB |
| Kimina-Prover-Distill-0.6B.Q4_K.gguf | Q4_K | 397 MB |
| Kimina-Prover-Distill-0.6B.Q4_K_M.gguf | Q4_K_M | 397 MB |
| Kimina-Prover-Distill-0.6B.Q4_K_S.gguf | Q4_K_S | 383 MB |
| Kimina-Prover-Distill-0.6B.Q5_0.gguf | Q5_0 | 437 MB |
| Kimina-Prover-Distill-0.6B.Q5_1.gguf | Q5_1 | 464 MB |
| Kimina-Prover-Distill-0.6B.Q5_K.gguf | Q5_K | 444 MB |
| Kimina-Prover-Distill-0.6B.Q5_K_M.gguf | Q5_K_M | 444 MB |
| Kimina-Prover-Distill-0.6B.Q5_K_S.gguf | Q5_K_S | 437 MB |
| Kimina-Prover-Distill-0.6B.Q6_K.gguf | Q6_K | 495 MB |
| Kimina-Prover-Distill-0.6B.Q8_0.gguf | Q8_0 | 639 MB |
Kimina-Prover-Distill-1.7B
| File Name | Quant Type | File Size |
|---|---|---|
| Kimina-Prover-Distill-1.7B.BF16.gguf | BF16 | 3.45 GB |
| Kimina-Prover-Distill-1.7B.F16.gguf | F16 | 3.45 GB |
| Kimina-Prover-Distill-1.7B.F32.gguf | F32 | 6.89 GB |
| Kimina-Prover-Distill-1.7B.Q2_K.gguf | Q2_K | 778 MB |
| Kimina-Prover-Distill-1.7B.Q3_K_L.gguf | Q3_K_L | 1 GB |
| Kimina-Prover-Distill-1.7B.Q3_K_M.gguf | Q3_K_M | 940 MB |
| Kimina-Prover-Distill-1.7B.Q3_K_S.gguf | Q3_K_S | 867 MB |
| Kimina-Prover-Distill-1.7B.Q4_0.gguf | Q4_0 | 1.05 GB |
| Kimina-Prover-Distill-1.7B.Q4_1.gguf | Q4_1 | 1.14 GB |
| Kimina-Prover-Distill-1.7B.Q4_K.gguf | Q4_K | 1.11 GB |
| Kimina-Prover-Distill-1.7B.Q4_K_M.gguf | Q4_K_M | 1.11 GB |
| Kimina-Prover-Distill-1.7B.Q4_K_S.gguf | Q4_K_S | 1.06 GB |
| Kimina-Prover-Distill-1.7B.Q5_0.gguf | Q5_0 | 1.23 GB |
| Kimina-Prover-Distill-1.7B.Q5_1.gguf | Q5_1 | 1.32 GB |
| Kimina-Prover-Distill-1.7B.Q5_K.gguf | Q5_K | 1.26 GB |
| Kimina-Prover-Distill-1.7B.Q5_K_M.gguf | Q5_K_M | 1.26 GB |
| Kimina-Prover-Distill-1.7B.Q5_K_S.gguf | Q5_K_S | 1.23 GB |
| Kimina-Prover-Distill-1.7B.Q6_K.gguf | Q6_K | 1.42 GB |
| Kimina-Prover-Distill-1.7B.Q8_0.gguf | Q8_0 | 1.83 GB |
Kimina-Prover-RL-0.6B
| File Name | Quant Type | File Size |
|---|---|---|
| Kimina-Prover-RL-0.6B.BF16.gguf | BF16 | 1.2 GB |
| Kimina-Prover-RL-0.6B.F16.gguf | F16 | 1.2 GB |
| Kimina-Prover-RL-0.6B.F32.gguf | F32 | 2.39 GB |
| Kimina-Prover-RL-0.6B.Q2_K.gguf | Q2_K | 296 MB |
| Kimina-Prover-RL-0.6B.Q3_K_L.gguf | Q3_K_L | 368 MB |
| Kimina-Prover-RL-0.6B.Q3_K_M.gguf | Q3_K_M | 347 MB |
| Kimina-Prover-RL-0.6B.Q3_K_S.gguf | Q3_K_S | 323 MB |
| Kimina-Prover-RL-0.6B.Q4_0.gguf | Q4_0 | 382 MB |
| Kimina-Prover-RL-0.6B.Q4_1.gguf | Q4_1 | 409 MB |
| Kimina-Prover-RL-0.6B.Q4_K.gguf | Q4_K | 397 MB |
| Kimina-Prover-RL-0.6B.Q4_K_M.gguf | Q4_K_M | 397 MB |
| Kimina-Prover-RL-0.6B.Q4_K_S.gguf | Q4_K_S | 383 MB |
| Kimina-Prover-RL-0.6B.Q5_0.gguf | Q5_0 | 437 MB |
| Kimina-Prover-RL-0.6B.Q5_1.gguf | Q5_1 | 464 MB |
| Kimina-Prover-RL-0.6B.Q5_K.gguf | Q5_K | 444 MB |
| Kimina-Prover-RL-0.6B.Q5_K_M.gguf | Q5_K_M | 444 MB |
| Kimina-Prover-RL-0.6B.Q5_K_S.gguf | Q5_K_S | 437 MB |
| Kimina-Prover-RL-0.6B.Q6_K.gguf | Q6_K | 495 MB |
| Kimina-Prover-RL-0.6B.Q8_0.gguf | Q8_0 | 639 MB |
Kimina-Prover-RL-1.7B
| File Name | Quant Type | File Size |
|---|---|---|
| Kimina-Prover-RL-1.7B.BF16.gguf | BF16 | 3.45 GB |
| Kimina-Prover-RL-1.7B.F16.gguf | F16 | 3.45 GB |
| Kimina-Prover-RL-1.7B.F32.gguf | F32 | 6.89 GB |
| Kimina-Prover-RL-1.7B.Q2_K.gguf | Q2_K | 778 MB |
| Kimina-Prover-RL-1.7B.Q3_K_L.gguf | Q3_K_L | 1 GB |
| Kimina-Prover-RL-1.7B.Q3_K_M.gguf | Q3_K_M | 940 MB |
| Kimina-Prover-RL-1.7B.Q3_K_S.gguf | Q3_K_S | 867 MB |
| Kimina-Prover-RL-1.7B.Q4_0.gguf | Q4_0 | 1.05 GB |
| Kimina-Prover-RL-1.7B.Q4_1.gguf | Q4_1 | 1.14 GB |
| Kimina-Prover-RL-1.7B.Q4_K.gguf | Q4_K | 1.11 GB |
| Kimina-Prover-RL-1.7B.Q4_K_M.gguf | Q4_K_M | 1.11 GB |
| Kimina-Prover-RL-1.7B.Q4_K_S.gguf | Q4_K_S | 1.06 GB |
| Kimina-Prover-RL-1.7B.Q5_0.gguf | Q5_0 | 1.23 GB |
| Kimina-Prover-RL-1.7B.Q5_1.gguf | Q5_1 | 1.32 GB |
| Kimina-Prover-RL-1.7B.Q5_K.gguf | Q5_K | 1.26 GB |
| Kimina-Prover-RL-1.7B.Q5_K_M.gguf | Q5_K_M | 1.26 GB |
| Kimina-Prover-RL-1.7B.Q5_K_S.gguf | Q5_K_S | 1.23 GB |
| Kimina-Prover-RL-1.7B.Q6_K.gguf | Q6_K | 1.42 GB |
| Kimina-Prover-RL-1.7B.Q8_0.gguf | Q8_0 | 1.83 GB |
Kimina-Prover-Distill-8B
| File Name | Quant Type | File Size |
|---|---|---|
| Kimina-Prover-Distill-8B.BF16.gguf | BF16 | 16.4 GB |
| Kimina-Prover-Distill-8B.F16.gguf | F16 | 16.4 GB |
| Kimina-Prover-Distill-8B.Q2_K.gguf | Q2_K | 3.28 GB |
| Kimina-Prover-Distill-8B.Q4_K_M.gguf | Q4_K_M | 5.03 GB |
| Kimina-Prover-Distill-8B.Q4_K_S.gguf | Q4_K_S | 4.8 GB |
Quants Usage
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
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Model tree for prithivMLmods/Kimina-Prover-AI-MO-GGUF
Base model
Qwen/Qwen3-0.6B-Base