README.md

metadata

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)