Caid Technologies Parti Vision GGUF

--- license: apache-2.0 base_model: - caid-technologies/parti-vision library_name: transformers tags: - text-generation-inference - llama-cpp - caid - blueprint - hardware - electronics - maker - structured-generation - json - qwen3.5 - vision language: - en pipeline_tag: image-text-to-text --- # **caid-technologies-parti-vision-GGUF** > **[Parti-Vision Base](https://huggingface.co/caid-technologies/parti-vision)** is a Qwen3.5-9B fine-tune by caid-technologies that turns a hardware idea — a sentence, a brief, or a sketch — into a complete build blueprint, returning a single structured JSON object containing a parts list, pin-level wiring, ordered build steps, a costed sourcing table, and an appearance spec with a ready-to-use image-generation prompt. It's a standalone, adapter-free merged 16-bit model (a LoRA-adapter version is also available) trained via Unsloth on 150 synthetic schema- and semantic-gate-validated records across four input variants (prompt-only, plus brief, plus sketch, plus brief+render), accepting plain-English requests, pasted documents, or concept images/sketches as vision input, and defaulting to direct JSON output with `enable_thinking=False` (though a reasoning trace can be enabled). While the stock base Qwen3.5-9B scores 0% on blueprint validity, Parti-Vision achieves ~67% schema-valid in-distribution and ~61% on unseen realistic prompts with free decoding — jumping to ~83% and ~97% respectively when served with vLLM's `guided_json` constrained decoding — though it remains an early research preview where roughly half of outputs contain at least one design slip (wrong pin nets, cost errors, misordered steps), making it a tool for rapid ideation and drafting rather than a substitute for real engineering, CAD, or safety review. ## Model Files File Name | Quant Type | File Size | File Link | |-----------|------------|-----------|-----------| | caid-technologies-parti-vision.BF16.gguf | BF16 | 17.9 GB | [Download](https://huggingface.co/prithivMLmods/caid-technologies-parti-vision-GGUF/blob/main/caid-technologies-parti-vision.BF16.gguf) | | caid-technologies-parti-vision.F16.gguf | F16 | 17.9 GB | [Download](https://huggingface.co/prithivMLmods/caid-technologies-parti-vision-GGUF/blob/main/caid-technologies-parti-vision.F16.gguf) | | caid-technologies-parti-vision.Q3_K_L.gguf | Q3_K_L | 4.93 GB | [Download](https://huggingfa...