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Computron-Bots-1.7B-R1-GGUF
prithivMLmods/Computron-Bots-1.7B-R1-GGUF
Computron-Bots-1.7B-R1-GGUF is a text generation model from prithivMLmods. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
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 stra…
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Repo size
25.3 GB
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0
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Repo makeup
Click a slice to open those files.
.gguf25.3 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Jun 8, 2025
- Updated
- Jun 9, 2025
- SHA
- 7bf4da98
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Base models
Model card
From the Hugging Face model README
Computron-Bots-1.7B-R1-GGUF
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.
Model Files
| File Name | Size | Format | Description |
|---|---|---|---|
| Computron-Bots-1.7B-R1.F32.gguf | 6.89 GB | F32 | Full precision 32-bit floating point |
| Computron-Bots-1.7B-R1.F16.gguf | 3.45 GB | F16 | Half precision 16-bit floating point |
| Computron-Bots-1.7B-R1.BF16.gguf | 3.45 GB | BF16 | Brain floating point 16-bit |
| Computron-Bots-1.7B-R1.Q8_0.gguf | 1.83 GB | Q8_0 | 8-bit quantized |
| Computron-Bots-1.7B-R1.Q6_K.gguf | 1.42 GB | Q6_K | 6-bit quantized |
| Computron-Bots-1.7B-R1.Q5_K_M.gguf | 1.26 GB | Q5_K_M | 5-bit quantized, medium quality |
| Computron-Bots-1.7B-R1.Q5_K_S.gguf | 1.23 GB | Q5_K_S | 5-bit quantized, small quality |
| Computron-Bots-1.7B-R1.Q4_K_M.gguf | 1.11 GB | Q4_K_M | 4-bit quantized, medium quality |
| Computron-Bots-1.7B-R1.Q4_K_S.gguf | 1.06 GB | Q4_K_S | 4-bit quantized, small quality |
| Computron-Bots-1.7B-R1.Q3_K_L.gguf | 1 GB | Q3_K_L | 3-bit quantized, large quality |
| Computron-Bots-1.7B-R1.Q3_K_M.gguf | 940 MB | Q3_K_M | 3-bit quantized, medium quality |
| Computron-Bots-1.7B-R1.Q3_K_S.gguf | 867 MB | Q3_K_S | 3-bit quantized, small quality |
| Computron-Bots-1.7B-R1.Q2_K.gguf | 778 MB | Q2_K | 2-bit quantized |
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):
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- License
- apache-2.0
- Languages
- en
- Created
- Jun 8, 2025
- Updated
- Jun 9, 2025