README.md

metadata

title: Multi-GGUF LLM Inference
emoji: 🧠
colorFrom: pink
colorTo: purple
sdk: streamlit
sdk_version: 1.44.1
app_file: app.py
pinned: false
license: apache-2.0
short_description: Run GGUF models (Qwen2.5, Gemma-3, Phi-4) with llama.cpp

This Streamlit app lets you run chat-based inference on different GGUF models with llama.cpp and llama-cpp-python.

🔄 Supported Models:

• Qwen/Qwen2.5-7B-Instruct-GGUF → qwen2.5-7b-instruct-q2_k.gguf
• unsloth/gemma-3-4b-it-GGUF → gemma-3-4b-it-Q5_K_M.gguf
• unsloth/Phi-4-mini-instruct-GGUF → Phi-4-mini-instruct-Q5_K_M.gguf

⚙️ Features:

• Model selection in sidebar
• Custom system prompt and generation parameters
• Chat-style UI with streaming responses

🧠 Memory-Safe Design (for HuggingFace Spaces):

• Only one model is loaded at a time (no persistent memory bloat)
• Uses manual unloading and gc.collect() to free memory when switching
• Reduces n_ctx context length to stay under 16 GB RAM limit
• Automatically downloads models only when needed
• Trims history to the last 8 user-assistant turns to avoid context overflow

Perfect for deploying multi-GGUF chat models on free-tier HuggingFace Spaces!

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference