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The post details running the Ornith-1.5-9B AI model on an RTX 3060 with 200k context, achieving high inference speeds using advanced quantization techniques.
DogukanUrker demonstrates running Gemma 4 12B with full 262,144 context at ~100 tok/s on a single RTX 3060 using speculative decoding and KV cache splitting, achieving nearly full GPU utilization without CPU offload.
A significant breakthrough in Levantine Arabic speech synthesis and English code-switching, achieving a 76% improvement using a single RTX 3060 in an evening.
A developer shares their experience using a local Qwen VL model on an RTX 3060 to parse Japanese receipts into JSON, replacing Google Vision, with results showing accurate extraction of key fields at ~31 seconds per receipt.