初始化项目，由ModelHub XC社区提供模型

Model: prithivMLmods/Kimina-Prover-Distill-1.7B-F32-GGUF
Source: Original Platform

README.md

@@ -0,0 +1,46 @@
+---
+license: mit
+language:
+- en
+base_model:
+- AI-MO/Kimina-Prover-Distill-1.7B
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- text-generation-inference
+- math
+---
+
+# **Kimina-Prover-Distill-1.7B-F32-GGUF**
+
+> AI-MO/Kimina-Prover-Distill-1.7B is a theorem proving model developed by Project Numina and Kimi teams, focusing on competition style problem solving capabilities in Lean 4. It is a distillation of Kimina-Prover-72B, a model trained via large scale reinforcement learning. It achieves 72.95% accuracy with Pass@32 on MiniF2F-test.
+
+## Model Files
+
+| File Name | Size | Format |
+|-----------|------|--------|
+| Kimina-Prover-Distill-1.7B.gitattributes | 2.48 kB | Git attributes |
+| Kimina-Prover-Distill-1.7B.BF16.gguf | 3.45 GB | GGUF BF16 |
+| Kimina-Prover-Distill-1.7B.F16.gguf | 3.45 GB | GGUF F16 |
+| Kimina-Prover-Distill-1.7B.F32.gguf | 6.89 GB | GGUF F32 |
+| Kimina-Prover-Distill-1.7B.Q2_K.gguf | 778 MB | GGUF Q2_K |
+| Kimina-Prover-Distill-1.7B.Q3_K_L.gguf | 1 GB | GGUF Q3_K_L |
+| Kimina-Prover-Distill-1.7B.Q3_K_M.gguf | 940 MB | GGUF Q3_K_M |
+| Kimina-Prover-Distill-1.7B.Q3_K_S.gguf | 867 MB | GGUF Q3_K_S |
+| Kimina-Prover-Distill-1.7B.Q4_K_M.gguf | 1.11 GB | GGUF Q4_K_M |
+| Kimina-Prover-Distill-1.7B.Q4_K_S.gguf | 1.06 GB | GGUF Q4_K_S |
+| Kimina-Prover-Distill-1.7B.Q5_K_M.gguf | 1.26 GB | GGUF Q5_K_M |
+| Kimina-Prover-Distill-1.7B.Q5_K_S.gguf | 1.23 GB | GGUF Q5_K_S |
+| Kimina-Prover-Distill-1.7B.Q6_K.gguf | 1.42 GB | GGUF Q6_K |
+| Kimina-Prover-Distill-1.7B.Q8_0.gguf | 1.83 GB | GGUF Q8_0 |
+| README.md | 180 Bytes | Markdown |
+| config.json | 29 Bytes | JSON |
+
+## 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):
+
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)