# Which is the best open model for \[Julia\] coding? And practical, and still reasonably good

**URL:** <https://discourse.julialang.org/t/which-is-the-best-open-model-for-julia-coding-and-practical-and-still-reasonably-good/138640>\
**Category:** General Usage\
**Created:** [August 6, 2026, 12:35pm UTC](https://discourse.julialang.org/t/which-is-the-best-open-model-for-julia-coding-and-practical-and-still-reasonably-good/138640 "2026-08-06T12:35:21Z")\
**Posts on this page:** 1\
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**Author:** ![j\_u](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/j_u/32/219081_2.png) [@j\_u](https://discourse.julialang.org/u/j_u)\
**Post date:** [August 17, 2026, 2:55pm UTC](https://discourse.julialang.org/t/which-is-the-best-open-model-for-julia-coding-and-practical-and-still-reasonably-good/138640/25 "2026-08-17T14:55:10Z")

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> I recall you sharing a research paper a few months ago regarding distributed training or inference.

@Palli FYI, I just found the papers poasted by you on this topic. They are about DisTrO, SuperScaler, DeepSpeed, Megatron, Alpa, DoReMi. Mostly in your posts (number 11/8/4) of the original [thread](https://discourse.julialang.org/t/community-interest-check-llms-from-scratch-in-pure-julia/121796).

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