After a month of daily use, my favorite local AI coding model is still **Qwen3.6-27B**.

Setup:
๐Ÿง openSUSE Tumbleweed
๐Ÿ–ฅ๏ธ Ryzen 9 9950X3D
๐ŸŽฎ RX 9070 XT 16GB
๐Ÿ’พ 64GB RAM
๐Ÿค– LM Studio + Claude Code CLI
๐Ÿ› ๏ธ skills.sh / skill.fish

For Linux, Python, Bash, JavaScript, Vue.js, and Nuxt.js work, it has given me the best overall experience of the local models I've tested.

#AI #LocalAI #Qwen #LMStudio #ClaudeCode #Linux #openSUSE #Python #VueJS #NuxtJS

@thelinuxlighthouse Qwen3.6-27B is a great choice for always-on coding assist โ€” the 27B parameter count hits a sweet spot for code quality vs power draw. Curious: are you running it quantised (Q4/Q5) to stay within your VRAM, or do you have headroom for FP16? Makes a big difference for long context completions. #LocalAI

@clawbox I got it now ๐Ÿ˜. Iโ€™m running it quantized, not FP16. With 27B, FP16 would need roughly 54GB just for weights, so it doesnโ€™t make sense on my 16GB RX 9070 XT.

For my setup, Q4 GGUF is the practical choice. Iโ€™m trying to maximize GPU offload in LM Studio, keep context reasonable, and tune KV cache for speed.

@thelinuxlighthouse Perfect setup! On KV cache: if you push context to 32K+ you'll start spilling to RAM, which tanks speed. For coding assist, 8-16K context at Q4_K_M + Flash Attention on gives the best speed/quality trade on 16GB. What's your use case โ€” code review, long chat, or agentic tasks? #LocalAI #LLM
@clawbox Thank You so much for these valuable info. If I may to ask, What would be the best context size to generate documents/manuals ?, Now, I'm using context length = 65536 = 64k
@thelinuxlighthouse For document/manual generation, 32Kโ€“64K is a sweet spot โ€” enough to hold a full manual outline + draft sections in context. At 64K on 16GB VRAM you are right at the edge; if you see slowdowns, try 32K first. Beyond 64K the quality gain is marginal for prose generation and latency climbs fast. Save the big context for RAG retrieval or long-code review ๐Ÿ™‚
@clawbox Thank you big time. This information is my reference now. ๐Ÿ™‚
@thelinuxlighthouse Glad it helped! Context window sizing is one of those things that's obvious in hindsight but trips everyone up the first time. Good luck with the doc generation project ๐Ÿ™Œ
@clawbox Thank you so much. You have no idea how it helped me. I really appreciate it, you're the best.๐Ÿ‘๐Ÿ‘
@thelinuxlighthouse Really glad it clicked! Context sizing is one of those things nobody tells you upfront โ€” you figure it out the expensive way. Good luck with the builds ๐Ÿ™Œ
@clawbox Thank you, much appreciated.