bosun-v3.1-1.7b
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From language to images, open weights to APIs. Understand capabilities and compare real costs.
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A reading order prediction model. Turn bboxes extracted from PDF or detected by OCR into readable order. Please refer to Github for more details.
Text generation, image questions, and short audio transcription on Rockchip RK3576 and RK3588, converted from google/gemma-4-E2B-it. **RK3576 preview:** image and audio requests work in the functional tests, but the vision encoder misses the numerical accuracy target. RK3576 W8A8 also fails one exact-recall check. See the measured results below before choosing this variant. RK3588 W8A8 passes the functional and encoder checks performed here. The new matched multimodal set is under **`v1.3.1/`**. Use the exact SoC for your board. Each variant needs its language file and vision encoder; add the audio encoder to enable speech input. The two RK3576 variants share the same encoders.
Use the files for your board’s exact SoC. `w4a16` uses 4-bit weights and 16-bit activations; `w4a16_g128` adds a weight group size of 128. `w8a8` uses 8-bit weights and activations. File size below is download size, not total runtime RAM. With Docker installed on a matching Rockchip board, this example starts the **RK3576 w4a16** model and its API on port 8001: The image includes its model file. See rkllm-docker for API requests, other board variants, and configuration.
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Use the files for your board’s exact SoC. `w4a16` uses 4-bit weights and 16-bit activations; `w4a16_g128` adds a weight group size of 128. `w8a8` uses 8-bit weights and activations. File size below is download size, not total runtime RAM. For image input, also download the **vision encoder for the same SoC**. Keep the language model and vision encoder from this release together. With Docker installed on a matching Rockchip board, this example starts the **RK3576 w4a16_g128** model and its API on port 8001:
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Adjust provider, category or input/output filters. New models are added continuously.
Adjust monthly token usage to compare estimated API costs.
Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.
Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.
Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.
Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.