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Model: prithivMLmods/Eta-Aurigae-0.6B-Echelon1-GGUF
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+language:
+- en
+base_model:
+- prithivMLmods/Eta-Aurigae-0.6B-Echelon1
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- text-generation-inference
+- science
+---
+
+# **Eta-Aurigae-0.6B-Echelon1-GGUF**
+
+> **Eta-Aurigae-0.6B-Echelon1** is a compact, efficient model specialized in **science, factual accuracy**, and **structured reasoning**. Fine-tuned on **Qwen3-0.6B** using the **MoT (Mixture of Thoughts)** dataset—focused on scientific understanding and expert factual domains—it delivers high-precision outputs for STEM education, tutoring, and analytical thinking in resource-constrained environments.
+
+## Model File 
+
+| File Name                                   | Size   | Format        | Description                              |
+|--------------------------------------------|--------|---------------|------------------------------------------|
+| Eta-Aurigae-0.6B-Echelon1.BF16.gguf        | 1.2 GB | GGUF (BF16)   | BFloat16 precision model file            |
+| Eta-Aurigae-0.6B-Echelon1.F32.gguf         | 2.39 GB| GGUF (F32)    | Float32 precision model file             |
+| Eta-Aurigae-0.6B-Echelon1.Q4_K_M.gguf      | 397 MB | GGUF (Q4_K_M) | 4-bit quantized model file               |
+| Eta-Aurigae-0.6B-Echelon1.Q5_K_M.gguf      | 444 MB | GGUF (Q5_K_M) | 5-bit quantized model file               |
+| Eta-Aurigae-0.6B-Echelon1.Q8_0.gguf        | 639 MB | GGUF (Q8_0)   | 8-bit quantized model file               |
+| config.json                                | 31 B   | JSON          | Configuration file                       |
+| .gitattributes                             | 1.88 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)

config.json

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+{
+    "model_type": "qwen3"
+}

configuration.json

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+{"framework": "pytorch", "task": "others", "allow_remote": true}