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Cesium2-vision-GGUF
ram1234598766/Cesium2-vision-GGUF
Cesium2-vision-GGUF is a image-text-to-text model from ram1234598766. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as apache-2.0.
MORPH-AI v7 (Cesium2) Vision — a QLoRA fine-tune of Qwen2.5-VL-3B-Instruct (document VQA from The Cauldron + the full Cesium2 2026-knowledge/persona text set), merged and exported for llama.cpp/Ollama.
All-time downloads
507
Public
Repo size
3.3 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.gguf3.3 GB · 100%
At a glance
- Task
- Image-Text-to-Text
- Library
- gguf
- License
- apache-2.0
- Access
- Public
- Created
- Aug 23, 2026
- Updated
- Aug 24, 2026
- SHA
- 8010084c
Try a prompt
Model card
From the Hugging Face model README
Cesium2 Vision — GGUF (Q4_K_M + mmproj)
MORPH-AI v7 (Cesium2) Vision — a QLoRA fine-tune of Qwen2.5-VL-3B-Instruct (document VQA from The Cauldron + the full Cesium2 2026-knowledge/persona text set), merged and exported for llama.cpp/Ollama.
Files
| File | Role | Size |
|---|---|---|
cesium2-vision-q4_k_m.gguf | LLM tower (fine-tuned) | 1.93 GB |
cesium2-vision-mmproj-f16.gguf | CLIP vision projector | 1.34 GB |
Both files are required for image input.
Quick start (Ollama)
ollama pull ram1234598766/cesium2-vision
Manual import: put both files in one folder with a Modelfile:
FROM ./cesium2-vision-q4_k_m.gguf
FROM ./cesium2-vision-mmproj-f16.gguf
PARAMETER num_ctx 8192
PARAMETER stop "<|im_end|>"
Model facts
| Base | Qwen/Qwen2.5-VL-3B-Instruct |
| Fine-tune | QLoRA r=16 on attention projections, 1 epoch |
| Data | 400 docvqa images + Cesium2 2026 persona/knowledge set |
| Architecture | qwen2vl + clip projector |
Links
⚡ What's new (August 2026)
-
🌐 Web-connected Playground — toggle Live web search (keyless DuckDuckGo) and URL reading/scraping: grounded answers with cited sources
-
💾 Sessions stored per account — full sessions API (
GET/POST /v1/sessions), chat history follows you across devices -
🔑 Two key types —
cs2-pg-…Playground keys (browser chat) andcs2-sk-…Agent keys (Claude Code, OpenAI SDK, curl), each with its own usage analytics -
🧰 Tools API —
POST /v1/tools/search(live web),POST /v1/tools/read(scrape), plus Wikipedia, GitHub, Hugging Face, arXiv, exact-math and clock connectors viaPOST /v1/tools/use -
⌨️ VS Code extension 1.1.0 — inline completions, web-grounded chat, cloud sessions, 14 coding commands, slick animations
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⚡ Faster serving — models pre-warmed and pinned in RAM, consistent 8k context, 60s search cache, 8-way parallel
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🌐 Live API & key portal: https://ram1234598766-soverign-cognitive-quantum-space.hf.space (sign in with Google → free personal key, works with Claude Code)
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💻 Source & pipeline: https://github.com/ram1234598766-dotcom/cesium2
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📝 Text sibling model: https://huggingface.co/ram1234598766/Cesium2-v7-GGUF
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🧩 VS Code assistant with drag-&-drop vision: https://open-vsx.org/extension/ram1234598766/cesium2-ai
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🫥 Ollama page: https://ollama.com/ram1234598766/cesium2-vision
Author: Mrityunjay K — trained, fine-tuned, quantized and shipped end-to-end on free Kaggle GPUs. Live API: https://ram1234598766-soverign-cognitive-quantum-space.hf.space
- Task
- Image-Text-to-Text
- Library
- gguf
- License
- apache-2.0
- Languages
- en
- Created
- Aug 23, 2026
- Updated
- Aug 24, 2026