Spaces:
Running
on
Zero
Running
on
Zero
metadata
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 with llama.cpp
This Streamlit app enables chat-based inference on various GGUF models using llama.cpp
and llama-cpp-python
.
π Supported Models:
Qwen/Qwen2.5-7B-Instruct-GGUF
βqwen2.5-7b-instruct-q2_k.gguf
unsloth/gemma-3-4b-it-GGUF
βgemma-3-4b-it-Q4_K_M.gguf
unsloth/Phi-4-mini-instruct-GGUF
βPhi-4-mini-instruct-Q4_K_M.gguf
MaziyarPanahi/Meta-Llama-3.1-8B-Instruct-GGUF
βMeta-Llama-3.1-8B-Instruct.Q2_K.gguf
unsloth/DeepSeek-R1-Distill-Llama-8B-GGUF
βDeepSeek-R1-Distill-Llama-8B-Q2_K.gguf
MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF
βMistral-7B-Instruct-v0.3.IQ3_XS.gguf
Qwen/Qwen2.5-Coder-7B-Instruct-GGUF
βqwen2.5-coder-7b-instruct-q2_k.gguf
βοΈ Features:
- Model selection in the sidebar
- Customizable system prompt and generation parameters
- Chat-style UI with streaming responses
- Markdown output rendering for readable, styled output
- DeepSeek-compatible
<think>
tag handling β shows model reasoning in a collapsible expander
π§ Memory-Safe Design (for HuggingFace Spaces):
- Loads only one model at a time to prevent memory bloat
- Utilizes manual unloading and
gc.collect()
to free memory when switching models - Adjusts
n_ctx
context length to operate within a 16 GB RAM limit - Automatically downloads models as needed
- Limits history to the last 8 user-assistant turns to prevent context overflow
Ideal for deploying multiple GGUF chat models on free-tier HuggingFace Spaces!
Refer to the configuration guide at https://huggingface.co/docs/hub/spaces-config-reference