Nenque-MoT-0.6B-Elite14-GGUF

Nenque-MoT-0.6B-Elite14 is a compact, high-efficiency model tailored for mathematical reasoning, code generation, and structured technical inference. Fine-tuned from Qwen3-0.6B using the MoT (Mixture of Thoughts) dataset—with a focus on math expert clusters—this model delivers strong symbolic performance in low-resource environments. Despite its 0.6B parameter size, it offers elite-level precision across STEM and multilingual technical domains.

Model File

File Name	Size	Format	Description
Nenque-MoT-0.6B-Elite14.BF16.gguf	1.2 GB	GGUF (BF16)	BFloat16 precision model file
Nenque-MoT-0.6B-Elite14.F16.gguf	1.2 GB	GGUF (F16)	Float16 precision model file
Nenque-MoT-0.6B-Elite14.Q4_K_M.gguf	397 MB	GGUF (Q4_K_M)	4-bit quantized model file
Nenque-MoT-0.6B-Elite14.Q5_K_M.gguf	444 MB	GGUF (Q5_K_M)	5-bit quantized model file
unsloth.Q8_0.gguf	639 MB	GGUF (Q8_0)	8-bit quantized model file
config.json	31 B	JSON	Configuration file
.gitattributes	1.86 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):