Tested the model briefly with my usual eval: a couple of questions on general knowledge most small models often get wrong, then write a fully-featured todo list app in JS, then rewrite the same app in Rust with Tauri. Granted, most models are well trained on basic todo apps, but it gives me an idea of the basic SWE capabilities I can build on. As far as I'm concerned, if it can successfully setup a local git repo, write a todo list app skeleton that works, I can work with it.
SWE: model is strong for its size. It one-shotted the Web app, had no bug. The Rust rewrite only had one bug (reordering didn't work immediately - fixed in one prompt). Committed locally then pushed to my GitHub (https://github.com/DexterLagan/RusTODO). Can't complain. If it can do that reliably, I can use it to make whatever I need.
General knowledge: I usually ask 2 questions many small models get wrong: summarize Operation Trojan Horse by John Keel, give publication year. Summarize the Ariel school incident of 1994. Qwen3.8 got the first question right, along correct publication year, gave glorious detail on Keel's theory, but got the second wrong. It thought that school was located in the USA. Ah well.
Performance on an admittedly overpowered laptop: 15 tokens/s in power save mode on this MacBook M5 Max 48GB, and 30 in performance mode. Perfectly usable for local coding through OpenCode.
Verdict: very nice local and free backup to my usual GPT/Claude/DeepSeek for code. Good for Web searches via Brave search tool calls. What more do you want from a small local model?
SWE: model is strong for its size. It one-shotted the Web app, had no bug. The Rust rewrite only had one bug (reordering didn't work immediately - fixed in one prompt). Committed locally then pushed to my GitHub (https://github.com/DexterLagan/RusTODO). Can't complain. If it can do that reliably, I can use it to make whatever I need.
General knowledge: I usually ask 2 questions many small models get wrong: summarize Operation Trojan Horse by John Keel, give publication year. Summarize the Ariel school incident of 1994. Qwen3.8 got the first question right, along correct publication year, gave glorious detail on Keel's theory, but got the second wrong. It thought that school was located in the USA. Ah well.
Performance on an admittedly overpowered laptop: 15 tokens/s in power save mode on this MacBook M5 Max 48GB, and 30 in performance mode. Perfectly usable for local coding through OpenCode.
Verdict: very nice local and free backup to my usual GPT/Claude/DeepSeek for code. Good for Web searches via Brave search tool calls. What more do you want from a small local model?