This is an example of a work created by a local Creative Agent on Qwen-3.8-Next-Flash, starting from a single picture.
The referenced picture is included in the first frame, and it has a loop configuration that returns to it at the end. I purposely do not have any say in the production, including the development.
DeepSeek V4 Flash • Qwen 3.8 Flash
GLM 5.3 Flash • Gemini 3.7 Flash
262K context. On a 16GB RTX 5070 Ti.
🤯 Qwen 3.8 27B Q3 hits ~25 tok/s while an adaptive llama.cpp fork streams KV cache between RAM ↔ VRAM. Stock llama.cpp starts thrashing around ~120K context. Same consumer GPU. 2x+ the usable context. This could be huge for local LLMs.
The underlying Qwen 3.8 Max model is huge
2.4 trillion total parameters. But only around 95 billion are activated for an individual task. That mixture-of-experts approach lets it pull in the relevant parts of the model instead of activating everything.
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