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CodeNinja is an enhanced version of the renowned model openchat/openchat-3.5-1210. It having been fine-tuned through Supervised Fine Tuning on two expansive datasets, encompassing over 400,000 coding instructions. Designed to be an indispensable tool for coders, CodeNinja aims to integrate seamlessly into your daily coding routine. CodeNinja maintains the same prompt structure as OpenChat 3.5. Effective utilization requires adherence to this format: The simplest way to engage with CodeNinja is via the quantized versions on LM Studio. Ensure you select the "OpenChat" preset, which incorporates the necessary prompt format. The preset is also available in this gist.

Text generation
Input Text→ Output Text
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Qwen3.8-27B-NVFP4

bernhardbrieger

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Visual QA
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A **4-bit (`w4a8_mixed`)** block-splice hybrid of MiniMax-H3 that combines the **first/last-frame keyframe model (`fl2va`)** with the **reference-conditioning model (`ref2va`)** in a single checkpoint — so one gen can be **driven by a first frame *and* use reference images at the same time**. Neither alone can do **"open on this frame, and have this person walk in later."** The hybrid can: the first frame stays a hard temporal anchor while the reference supplies a subject's identity that the model can introduce anywhere in the clip. `b20-49` leans toward **reference adherence** (30 of 50 blocks from `ref2va`) at a small cost to base quality — a good pick when the reference is mandatory. The quality↔reference spectrum, most-quality → most-reference: `b30-49 → b25-49 → b20-49 → b15-49`.

Video generation
Input Image→ Output Video
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