39 lines
1.9 KiB
Markdown
39 lines
1.9 KiB
Markdown
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---
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license: apache-2.0
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datasets:
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- open-r1/Mixture-of-Thoughts
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language:
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- en
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base_model:
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- open-r1/OpenR1-Distill-7B
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- text-generation-inference
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---
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# **OpenR1-Distill-7B-F32-GGUF**
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> OpenR1-Distill-7B-F32-GGUF is a quantized version of OpenR1-Distill-7B, which is a post-trained model based on Qwen/Qwen2.5-Math-7B. It was further trained on Mixture-of-Thoughts, a curated dataset of 350k verified reasoning traces distilled from DeepSeek-R1. The dataset covers tasks in mathematics, coding, and science, and is designed to teach language models to reason step-by-step.
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## Model File
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| File Name | Size | Format | Notes |
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|------------------------------------------|---------|--------|----------------------------------|
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| OpenR1-Distill-7B.BF16.gguf | 15.2 GB | GGUF | BF16 precision model |
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| OpenR1-Distill-7B.F16.gguf | 15.2 GB | GGUF | FP16 precision model |
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| OpenR1-Distill-7B.F32.gguf | 30.5 GB | GGUF | FP32 precision model |
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| OpenR1-Distill-7B.Q2_K.gguf | 3.02 GB | GGUF | 2-bit quantized (Q2_K) model |
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| OpenR1-Distill-7B.Q4_K_M.gguf | 4.68 GB | GGUF | 4-bit quantized (Q4_K_M) model |
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| .gitattributes | 1.84 kB | Text | Git LFS tracking config |
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| config.json | 31 B | JSON | Model configuration file |
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| README.md | 213 B | Markdown | This readme file |
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## Quants Usage
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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types (lower is better):
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