metadata
license: apache-2.0
language:
- en
base_model:
- prithivMLmods/Capricornus-MoT-1.7B-Supreme1
pipeline_tag: text-generation
library_name: transformers
tags:
- text-generation-inference
- math
- code
- science
Capricornus-MoT-1.7B-Supreme1-GGUF
Capricornus-MoT-1.7B-Supreme1 is a high-precision, multi-domain expert model fine-tuned from Qwen3-1.7B, built for code generation, mathematical reasoning, scientific analysis, and open technical inference. Trained on the Mixture of Thoughts (MoT) dataset with combined expert clusters in code, math, and science, and enhanced with an Open Code Reasoning dataset, it delivers powerful symbolic and structured outputs in a wide range of STEM and reasoning domains.
Model File
| File Name | Size | Format | Description |
|---|---|---|---|
| Capricornus-MoT-1.7B-Supreme1.BF16.gguf | 3.45 GB | GGUF (BF16) | BFloat16 precision model file |
| Capricornus-MoT-1.7B-Supreme1.F16.gguf | 3.45 GB | GGUF (F16) | Float16 precision model file |
| Capricornus-MoT-1.7B-Supreme1.F32.gguf | 6.89 GB | GGUF (F32) | Float32 precision model file |
| Capricornus-MoT-1.7B-Supreme1.Q4_K_M.gguf | 1.11 GB | GGUF (Q4_K_M) | 4-bit quantized model file |
| Capricornus-MoT-1.7B-Supreme1.Q5_K_M.gguf | 1.26 GB | GGUF (Q5_K_M) | 5-bit quantized model file |
| Capricornus-MoT-1.7B-Supreme1.Q8_0.gguf | 1.83 GB | GGUF (Q8_0) | 8-bit quantized model file |
| config.json | 31 B | JSON | Configuration file |
| .gitattributes | 1.98 kB | Text | Git attributes configuration |
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):
