Edge LLM Variants x2
Collection
custom llms
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8 items
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Updated
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1
Lynx-TinySync-0.6B is a lightweight, high-performance model designed for mathematical reasoning, code generation, and general-purpose inference. Built on a custom modular dataset and powered by an efficient architecture, it excels in delivering structured, accurate outputs even in mid-resource environments. Despite its compact 0.6B parameter size, it demonstrates remarkable proficiency in math, code, and technical language understanding.
File Name | Size | Format |
---|---|---|
Lynx-TinySync-0.6B.BF16.gguf | 1.2 GB | BF16 |
Lynx-TinySync-0.6B.F16.gguf | 1.2 GB | F16 |
Lynx-TinySync-0.6B.F32.gguf | 2.39 GB | F32 |
Lynx-TinySync-0.6B.Q4_K_M.gguf | 397 MB | Q4_K_M |
Lynx-TinySync-0.6B.Q5_K_M.gguf | 444 MB | Q5_K_M |
Lynx-TinySync-0.6B.Q8_0.gguf | 639 MB | Q8_0 |
.gitattributes | 1.98 kB | - |
README.md | 220 B | - |
config.json | 31 B | JSON |
(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):
4-bit
5-bit
8-bit
16-bit
32-bit
Base model
Qwen/Qwen3-0.6B-Base