Update README.md

README.md

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----
-license: apache-2.0
----
+---
+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):
+
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)