| --- |
| base_model: Qwen/Qwen3.5-9B |
| library_name: transformers |
| pipeline_tag: image-text-to-text |
| license: other |
| license_name: captchakraken-source-available-1.0 |
| license_link: LICENSE |
| tags: |
| - captcha |
| - vllm |
| - computer-vision |
| - awq |
| - compressed-tensors |
| - quantized |
| --- |
| |
| # CaptchaKraken Sunlight (AWQ 4-bit) |
|
|
| A standalone captcha-solving model: the [`CaptchaKrakenV1_Lora`](https://huggingface.co/CaptchaKraken/CaptchaKrakenV1_Lora) |
| adapter merged into **Qwen/Qwen3.5-9B** and quantized to **AWQ 4-bit**. One |
| download, no adapter to wire up. |
|
|
| Sunlight is the lighter of two hardware tiers. [**Twilight**](https://huggingface.co/CaptchaKraken/Twilight-FP8) |
| is the same adapter and base at FP8, ~5 GB larger and ~4 points stronger. |
|
|
| - **Weights:** ~9.1 GB · **Min VRAM:** ~11 GB |
| - **Base revision:** `c202236235762e1c871ad0ccb60c8ee5ba337b9a` |
| - **Quantized:** language-model linears at 4-bit (group 128, asymmetric). The |
| vision tower, the linear-attention projections and the multi-token-prediction |
| head stay bf16 — quantizing those costs accuracy out of proportion to the space |
| saved. Calibrated on 256 in-domain captchas (hCaptcha + reCAPTCHA, none from |
| the held-out set). |
| - **Solves:** reCAPTCHA and hCaptcha grids, plus hCaptcha drag / click / path / |
| fit puzzles. |
|
|
| ## Serving (vLLM) |
|
|
| ```bash |
| vllm serve CaptchaKraken/Sunlight-AWQ-4bit \ |
| --max-model-len 8192 --gpu-memory-utilization 0.85 --trust-remote-code --port 8000 |
| ``` |
|
|
| No `--enable-lora` and no adapter flags — the adapter is already merged in. |
|
|
| ## Prompts — read this before integrating |
|
|
| This model only performs as measured when it is sent **the prompts it was trained |
| on**. `prompts.json` in this repo carries them, along with the puzzle-type → |
| template mapping and a `prompt_version`. Resolve prompts from that file rather |
| than hardcoding a copy: a mismatched prompt does not error, it silently |
| collapses accuracy. |
|
|
| Two integration requirements: |
|
|
| - **Disable thinking.** Send `chat_template_kwargs: {"enable_thinking": false}`. |
| With thinking on and a qwen3 reasoning parser, the answer is routed into |
| `reasoning` and `content` comes back empty. |
| - **Coordinates are normalized 0–1000**, top-left `(0,0)`, bottom-right |
| `(1000,1000)` — not pixels. |
|
|
| ## Evaluation |
|
|
| Scored with the project's soft-tolerance grader on **156 human-labelled held-out |
| captchas**, through an OpenAI-compatible vLLM endpoint. Samples promoted into the |
| labelled-train pool are excluded, so nothing here was trained on. Grid puzzles are |
| exact tile-set match with per-error decay; click/drag receive partial credit by |
| normalized distance — so these are **graded scores, not "percent solved"**. |
|
|
| | model | score | |
| |---|---| |
| | Twilight (FP8) | 66.87% | |
| | production `captcha` (FP8 base + LoRA at serve time) | 66.30% | |
| | Sunlight (AWQ 4-bit) | 62.72% | |
|
|
| Merging costs nothing: Twilight matches the served base+adapter setup within |
| noise. The 4-bit gap concentrates in coordinate-precision puzzles (drag, path) |
| rather than tile selection, where the two are identical. |
|
|
| ## License |
|
|
| **CaptchaKraken Source-Available License v1.0** — see [`LICENSE`](LICENSE). |
|
|
| Use it, modify it, build commercially on it where captcha solving is an internal |
| component of a product that delivers value beyond the solve — scrapers, |
| anti-detection browsers, automation frameworks, QA and accessibility tooling. |
|
|
| You may **not sell the solve**: no reselling or offering for a fee a captcha |
| solving service or API whose primary value is solving captchas, no thin wrappers |
| exposing this model's solving capability, and no relaying its outputs through a |
| paid or public captcha-solving API. Those require a separate written commercial |
| agreement. |
|
|
| Copyright (c) 2026 CaptchaKraken LLC. All rights reserved. |
|
|
