ram1234598766/Cesium2-v7-GGUF
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Cesium2 v7 — GGUF (Q8_0)
MORPH-AI v7 (Cesium2) — a fine-tuned Qwen2.5-1.5B-Instruct with refreshed August-2026 world knowledge, persona training, and a modular skill system (code · creative · data · math · reasoning · translate). Trained and shipped entirely on free Kaggle GPUs.
Quick start
ollama pull ram1234598766/cesium2-v7
ollama run ram1234598766/cesium2-v7 "What is GPT-5.6?"Or load this file directly in llama.cpp / LM Studio / Jan.
Model facts
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
- ⚡ Faster serving — models pre-warmed and pinned in RAM, consistent 8k context, 60s search cache, 8-way parallel
- 🌐 Live API & key portal: <https://ram1234598766-soverign-cognitive-quantum-space.hf.space> (sign in with Google → free personal key, works with Claude Code)
- 💻 Source & full pipeline: <https://github.com/ram1234598766-dotcom/cesium2>
- 👁 Vision sibling model: <https://huggingface.co/ram1234598766/Cesium2-vision-GGUF>
- 🧩 VS Code assistant powered by this model: <https://open-vsx.org/extension/ram1234598766/cesium2-ai>
- 🫥 Ollama page: <https://ollama.com/ram1234598766/cesium2-v7>
Usage notes
The model has a training cutoff (Aug 2026) baked into its system prompt — it will decline to guess about events after that unless given a [LIVE CONTEXT] block.
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>
