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

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GGUF
Model size
596M params
Architecture
qwen3
Hardware compatibility
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