---
title: SICS-1-35B · Фабрика гипотез
emoji: ⚗️
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 6.14.0
python_version: '3.12'
app_file: app.py
pinned: false
---

# SICS-1-35B · «Фабрика гипотез»

The public demo endpoint for **SICS-1-35B** — our fine-tuned 35B
mixture-of-experts reasoning model, the engine behind **«Фабрика гипотез»**
(Hypothesis Factory): an AI co-scientist that turns froth-flotation tailings
analysis into ranked, cited, testable process/equipment hypotheses to recover
more Ni and Cu.

Served as a **GGUF `Q4_K_M`** via `llama-cpp-python` on **ZeroGPU**. Reachable
programmatically via `gradio_client`.

The model is lazily loaded with `Llama(n_gpu_layers=-1)` created **inside** the
`@spaces.GPU` call, so CUDA is initialised in the GPU worker, not the main
process — which is what ZeroGPU requires.

Panels: **🖥 Превью** (live HTML/JS artifact), **🧩 Инструменты**,
**🧩 Код**, **🧠 Рассуждение**, **📝 Raw**.

## Required settings
- **Hardware:** ZeroGPU (`zero-a10g`) — fits the ~21 GB Q4 quant with room for KV.
- **Secrets:** `HF_TOKEN` (read access to the weights repo), `GGUF_REPO`, `GGUF_FILE`
  — the private GGUF repo + file path, kept out of the public code.

## Tunable variables
| var | meaning |
|-----|---------|
| `GGUF_REPO` | GGUF repo (set as a secret) |
| `GGUF_FILE` | quant file to load (set as a secret) |
| `N_CTX` | context window (default 16384) |