Spaces:
Running
on
Zero
Running
on
Zero
title: Multi-GGUF LLM Inference | |
emoji: π§ | |
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`. | |
### π Supported Models: | |
- `Qwen/Qwen2.5-7B-Instruct-GGUF` β `qwen2.5-7b-instruct-q2_k.gguf` | |
- `unsloth/gemma-3-4b-it-GGUF` β `gemma-3-4b-it-Q5_K_M.gguf` | |
- `unsloth/Phi-4-mini-instruct-GGUF` β `Phi-4-mini-instruct-Q5_K_M.gguf` | |
### βοΈ Features: | |
- Model selection in sidebar | |
- Custom system prompt and generation parameters | |
- Chat-style UI with streaming responses | |
### π§ 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 | |