Update README.md

README.md

@@ -16,4 +16,43 @@ language:
 - en
 pipeline_tag: text-generation
 library_name: transformers
----
+---
+
+# **Explora-0.6B-GGUF**
+
+> Explora-0.6B is a lightweight and efficient general-purpose reasoning model, fine-tuned on Qwen3-0.6B using the first 100,000 entries of the Open-Omega-Explora-2.5M dataset. It is tailored for science and code-focused reasoning tasks, combining symbolic clarity with fluent instruction-following, ideal for exploratory workflows in STEM domains.
+
+# Model Files
+
+| File Name | Format | Size | Precision | Description |
+|-----------|---------|------|-----------|-------------|
+| Explora-0.6B.F32.gguf | GGUF | 2.39 GB | 32-bit Float | Full precision model, highest quality |
+| Explora-0.6B.F16.gguf | GGUF | 1.2 GB | 16-bit Float | Half precision, good balance of size and quality |
+| Explora-0.6B.BF16.gguf | GGUF | 1.2 GB | 16-bit BFloat | Brain floating point, optimized for inference |
+| Explora-0.6B.Q8_0.gguf | GGUF | 639 MB | 8-bit Quantized | High quality quantized model |
+| Explora-0.6B.Q6_K.gguf | GGUF | 495 MB | 6-bit Quantized | Very good quality with smaller size |
+| Explora-0.6B.Q5_K_M.gguf | GGUF | 444 MB | 5-bit Quantized (Medium) | Good quality, balanced compression |
+| Explora-0.6B.Q5_K_S.gguf | GGUF | 437 MB | 5-bit Quantized (Small) | Good quality, higher compression |
+| Explora-0.6B.Q4_K_M.gguf | GGUF | 397 MB | 4-bit Quantized (Medium) | Decent quality with good compression |
+| Explora-0.6B.Q4_K_S.gguf | GGUF | 383 MB | 4-bit Quantized (Small) | Decent quality, higher compression |
+| Explora-0.6B.Q3_K_L.gguf | GGUF | 368 MB | 3-bit Quantized (Large) | Lower quality but very compact |
+| Explora-0.6B.Q3_K_M.gguf | GGUF | 347 MB | 3-bit Quantized (Medium) | Lower quality, more compact |
+| Explora-0.6B.Q3_K_S.gguf | GGUF | 323 MB | 3-bit Quantized (Small) | Lower quality, most compact |
+| Explora-0.6B.Q2_K.gguf | GGUF | 296 MB | 2-bit Quantized | Minimal quality, maximum compression |
+
+## Configuration Files
+
+| File Name | Size | Description |
+|-----------|------|-------------|
+| config.json | 29 Bytes | Model configuration parameters |
+| .gitattributes | 2.3 kB | Git LFS configuration for large files |
+| README.md | 280 Bytes | Project documentation |
+
+## 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)