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Building a Chat UI with Qwen3.6-27b

·2026.04.23 11:24

Key point

Built a chat UI for Gemma-4-E4B using a Qwen-series model in about 8 minutes.

Details

Implemented a chat interface using Qwen3.5-27b (BF16) on 2x Pro 6k and Gemma-4-E4B (BF16) on an RTX 5090.

The work was completed in a total of about 8 minutes and 40k tokens, of which about 10k tokens were opencode prompts. It proceeded with just one planning prompt and a few follow-up questions, generating about 1,000 lines of code in one go.

The only fix needed was one image preview bug in the chat history, and it also handled OpenAI-compatible integration without issues in a setup connecting to Gemma-4-E4B-IT on a local workstation via vLLM.

The author said this model might be used more often than the existing 122b-a10b (fp8) for coding tasks, but rated 122b-a10b as better for creative work.

llmqwengemmavllmopenai-compatiblecoding-assistantlocal-ai
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