---
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://huggingface.co/prithivMLmods/caid-technologies-parti-vision-GGUF/blob/main/caid-technologies-parti-vision.Q3_K_L.gguf) |
 | caid-technologies-parti-vision.Q3_K_M.gguf | Q3_K_M | 4.62 GB | [Download](https://huggingface.co/prithivMLmods/caid-technologies-parti-vision-GGUF/blob/main/caid-technologies-parti-vision.Q3_K_M.gguf) |
 | caid-technologies-parti-vision.Q3_K_S.gguf | Q3_K_S | 4.26 GB | [Download](https://huggingface.co/prithivMLmods/caid-technologies-parti-vision-GGUF/blob/main/caid-technologies-parti-vision.Q3_K_S.gguf) |
 | caid-technologies-parti-vision.Q4_K_M.gguf | Q4_K_M | 5.63 GB | [Download](https://huggingface.co/prithivMLmods/caid-technologies-parti-vision-GGUF/blob/main/caid-technologies-parti-vision.Q4_K_M.gguf) |
 | caid-technologies-parti-vision.Q4_K_S.gguf | Q4_K_S | 5.35 GB | [Download](https://huggingface.co/prithivMLmods/caid-technologies-parti-vision-GGUF/blob/main/caid-technologies-parti-vision.Q4_K_S.gguf) |
 | caid-technologies-parti-vision.Q5_K_M.gguf | Q5_K_M | 6.47 GB | [Download](https://huggingface.co/prithivMLmods/caid-technologies-parti-vision-GGUF/blob/main/caid-technologies-parti-vision.Q5_K_M.gguf) |
 | caid-technologies-parti-vision.Q5_K_S.gguf | Q5_K_S | 6.31 GB | [Download](https://huggingface.co/prithivMLmods/caid-technologies-parti-vision-GGUF/blob/main/caid-technologies-parti-vision.Q5_K_S.gguf) |
 | caid-technologies-parti-vision.Q8_0.gguf | Q8_0 | 9.53 GB | [Download](https://huggingface.co/prithivMLmods/caid-technologies-parti-vision-GGUF/blob/main/caid-technologies-parti-vision.Q8_0.gguf) |
 | caid-technologies-parti-vision.mmproj-bf16.gguf | mmproj-bf16 | 922 MB | [Download](https://huggingface.co/prithivMLmods/caid-technologies-parti-vision-GGUF/blob/main/caid-technologies-parti-vision.mmproj-bf16.gguf) |
 | caid-technologies-parti-vision.mmproj-f16.gguf | mmproj-f16 | 922 MB | [Download](https://huggingface.co/prithivMLmods/caid-technologies-parti-vision-GGUF/blob/main/caid-technologies-parti-vision.mmproj-f16.gguf) |
 | caid-technologies-parti-vision.mmproj-q8_0.gguf | mmproj-q8_0 | 624 MB | [Download](https://huggingface.co/prithivMLmods/caid-technologies-parti-vision-GGUF/blob/main/caid-technologies-parti-vision.mmproj-q8_0.gguf) |

## llama.cpp

LLM inference in C/C++ — https://github.com/ggml-org/llama.cpp