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---
license: apache-2.0
language:
- en
base_model:
- prithivMLmods/Computron-Bots-1.7B-R1
pipeline_tag: text-generation
library_name: transformers
tags:
- text-generation-inference
---
# **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):
 |