ykarout/Qwen3.5-9b-Opus-Openclaw-Distilled
ykarout/Qwen3.5-9b-Opus-Openclaw-Distilled-GGUF
Inspired from the trending Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled
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New Qwen3.5-9b (full and GGUF quantized) fine-tuned for agentic harness (OpenClaw, AgentScope) derived from Copaw-9B (Qwen's official agentic harness) + Opus 4.6 Reasoning - Appreciate your quick tests (use recommended generation parameters)
Reddit r/LocalLLaMA / 4/2/2026
💬 OpinionSignals & Early TrendsTools & Practical UsageModels & Research
Key Points
- A new Qwen3.5-9B fine-tuned variant for agentic workflows has been shared, along with both full-precision and GGUF quantized releases.
- The agentic fine-tuning is based on the Qwen-derived agent harness approach, combining Copaw-9B’s harness with Opus 4.6-style reasoning improvements.
- The model is presented for use with agent frameworks such as OpenClaw and AgentScope, with the author noting that readers should follow recommended generation parameters.
- Test results from the community are referenced as motivation for the release, indicating it is being evaluated specifically for agent harness performance.
- Availability of GGUF quantized weights suggests the release targets efficient local inference setups in addition to full models.
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