Unsloth passes 500M model downloads on Hugging Face
Melvin Vivas · X post · 2026-09-24 · Open on X
Topics: Industry Trends & Job Market, Fine-tuning & Model Customization · Level: beginner
Summary
Melvin Vivas congratulates Unsloth on passing 500 million model downloads on Hugging Face. The quoted post says the Qwen3.8-27B GGUF is Unsloth's most-downloaded model ever, which shows how popular quantized open models are for running locally.
Key points
- Unsloth has passed 500M model downloads on Hugging Face.
- Qwen3.8-27B GGUF is Unsloth's #1 most-downloaded model ever.
- GGUF quantized builds of open models are in heavy demand for local inference.
- The creator frames this as momentum for open models.
Resources mentioned
- Unsloth · tool · unsloth.ai · free
Open-source library for fast, memory-efficient fine-tuning of open LLMs (LoRA/QLoRA) on a single GPU or in Colab.
Also in: Run Laya Decision models locally with Unsloth on 4GB RAM (Melvin Vivas on X · notes), Run Qwen-Image-2.1 locally on 12GB VRAM with Unsloth GGUFs (Melvin Vivas on X · notes), Base vs fine-tuned Gemma 4 E2B as a model router (Melvin Vivas on X · notes), QLoRA fine-tune Gemma 4 E2B with Unsloth as a model router (Melvin Vivas on X · notes) and 29 more - Qwen3.8-27B-GGUF · tool · huggingface.co · free
Unsloth's GGUF quantized versions of the Qwen3.8 27B model, ready for llama.cpp and other GGUF runtimes.
Also in: Running Qwen3.8 27B Locally on an RTX 3090 with llama.cpp and the Pi Harness (Melvin Vivas on X · notes), Run Qwen3.8-27B locally with llama.cpp (llama-server) (Melvin Vivas on X · notes), Unsloth releases Qwen3.8-27B GGUF quantizations (Melvin Vivas on X · notes) - Hugging Face · website · x.com · free · recommended by both Bashiri Smith & Melvin Vivas
Platform for hosting and finding ML models, datasets and papers. The quoted post says LocateAnything was trending there.
Also in: Using an ML agent to train an open-source TTS model on your voice (Melvin Vivas on X · notes), Deploy Open-Source Models with Hugging Face Inference Endpoints (Melvin Vivas on X · notes), Deploying Qwen3.8 27B on Hugging Face Inference Endpoints (Melvin Vivas on X · notes), Using Hugging Face credits: Jobs, Inference Endpoints and Open Models (Melvin Vivas on X · notes) and 38 more
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