Update README.md

README.md

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 # **Lacaille-MoT-4B-Supreme2-GGUF**
 
-> **Lacaille-MoT-4B-Supreme2** is a high-efficiency, multi-domain model fine-tuned on **Qwen3-4B** using the **Mixture of Thoughts (MoT)** dataset enhanced with **code, math, science expert clusters** and an extended **open code reasoning dataset**. This model blends symbolic precision, scientific logic, and structured output fluency—making it an ideal tool for developers, educators, and researchers seeking advanced reasoning under constrained compute.
+> **Lacaille-MoT-4B-Supreme2** is a high-efficiency, multi-domain model fine-tuned on **Qwen3-4B** using the **Mixture of Thoughts (MoT)** dataset enhanced with **code, math, science expert clusters** and an extended **open code reasoning dataset**. This model blends symbolic precision, scientific logic, and structured output fluency—making it an ideal tool for developers, educators, and researchers seeking advanced reasoning under constrained compute.
+
+## Model File Table
+
+| File Name                                        | Size    | Format        | Description                              |
+|--------------------------------------------------|---------|---------------|------------------------------------------|
+| Lacaille-MoT-4B-Supreme2.BF16.gguf              | 8.05 GB | GGUF (BF16)   | BFloat16 precision model file            |
+| Lacaille-MoT-4B-Supreme2.F16.gguf               | 8.05 GB | GGUF (F16)    | Float16 precision model file             |
+| Lacaille-MoT-4B-Supreme2.F32.gguf               | 16.1 GB | GGUF (F32)    | Float32 precision model file             |
+| Lacaille-MoT-4B-Supreme2.Q4_K_M.gguf            | 2.5 GB  | GGUF (Q4_K_M) | 4-bit quantized model file               |
+| Lacaille-MoT-4B-Supreme2.Q5_K_M.gguf            | 2.89 GB | GGUF (Q5_K_M) | 5-bit quantized model file               |
+| Lacaille-MoT-4B-Supreme2.Q8_0.gguf              | 4.28 GB | GGUF (Q8_0)   | 8-bit quantized model file               |
+| config.json                                     | 31 B    | JSON          | Configuration file                       |
+| .gitattributes                                  | 1.95 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)