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--- |
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license: apache-2.0 |
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language: |
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- en |
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base_model: |
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- prithivMLmods/Computron-Bots-1.7B-R1 |
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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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# **Computron-Bots-1.7B-R1-GGUF** |
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> **Computron-Bots-1.7B-R1** is a **general-purpose safe question-answering model** fine-tuned from **Qwen3-1.7B**, specifically designed for **direct and efficient factual responses** without complex reasoning chains. It provides straightforward, accurate answers across diverse topics, making it ideal for knowledge retrieval, information systems, and applications requiring quick, reliable responses. |
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## Model Files |
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| File Name | Size | Format | Description | |
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|-----------|------|--------|-------------| |
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| Computron-Bots-1.7B-R1.F32.gguf | 6.89 GB | F32 | Full precision 32-bit floating point | |
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| Computron-Bots-1.7B-R1.F16.gguf | 3.45 GB | F16 | Half precision 16-bit floating point | |
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| Computron-Bots-1.7B-R1.BF16.gguf | 3.45 GB | BF16 | Brain floating point 16-bit | |
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| Computron-Bots-1.7B-R1.Q8_0.gguf | 1.83 GB | Q8_0 | 8-bit quantized | |
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| Computron-Bots-1.7B-R1.Q6_K.gguf | 1.42 GB | Q6_K | 6-bit quantized | |
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| Computron-Bots-1.7B-R1.Q5_K_M.gguf | 1.26 GB | Q5_K_M | 5-bit quantized, medium quality | |
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| Computron-Bots-1.7B-R1.Q5_K_S.gguf | 1.23 GB | Q5_K_S | 5-bit quantized, small quality | |
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| Computron-Bots-1.7B-R1.Q4_K_M.gguf | 1.11 GB | Q4_K_M | 4-bit quantized, medium quality | |
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| Computron-Bots-1.7B-R1.Q4_K_S.gguf | 1.06 GB | Q4_K_S | 4-bit quantized, small quality | |
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| Computron-Bots-1.7B-R1.Q3_K_L.gguf | 1 GB | Q3_K_L | 3-bit quantized, large quality | |
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| Computron-Bots-1.7B-R1.Q3_K_M.gguf | 940 MB | Q3_K_M | 3-bit quantized, medium quality | |
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| Computron-Bots-1.7B-R1.Q3_K_S.gguf | 867 MB | Q3_K_S | 3-bit quantized, small quality | |
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| Computron-Bots-1.7B-R1.Q2_K.gguf | 778 MB | Q2_K | 2-bit quantized | |
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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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