Qwen3.5 4B

Headlines · 3

1. 2d
   Troubleshoot Dify’s LAN connection to Ollama on Windows

   A Juejin author reports troubleshooting Dify 1.17.1 and Ollama 0.40.15 across two Windows machines, finding that Docker’s default docker0 subnet collided with the LAN address range and prevented containers from reaching Ollama. The author also found that the Dify Ollama plugin did not send a reasoning-control parameter, leaving Qwen3.5 4B in its default thinking mode and producing slow, short responses. The guide provides Docker network configuration changes, verification commands, and a forwarding proxy that injects think:false or reasoning_effort:none.

   掘金 · 人工智能 · 🔥 2
2. 5d
   Deploying Qwen3.5 4B on a Legacy RX 580 Server

   A report from 掘金 · 人工智能 documents running Qwen3.5 4B with Ollama 0.40.14 on Windows 10 using an Intel Xeon E5-2670 v2, 32 GB of memory, and an 8 GB AMD RX 580. The author exposes the model to WorkBuddy and Dify through an OpenAI-compatible API, with the Xeon serving as fallback compute at a reported prefill speed of about 54–74 tokens per second. Because the Vulkan flash-attention path produced zero-filled output on longer prompts, the deployment disables flash attention and accepts slower generation for more predictable results.

   掘金 · 人工智能 · 🔥 0
3. Oct 28
   WhisperNow releases locally fine-tuned transcription cleanup models

   Developer stephan273 released WhisperNow, an MIT-licensed voice-to-text app for Windows, macOS, and Linux, together with three locally fine-tuned models, a 66,557-row dataset, and training documentation. The LFM2.5 1.2B, LFM2.5 2.6B, and Qwen3.5 4B models were trained to remove fillers, false starts, and self-corrections and to format lists locally. The author reports that they outperformed several cloud models in factual-error tests, although those performance results have not been independently verified.

   r/LocalLLaMA · 🔥 0

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