Qwen3-0.6B
AI APIs & LLMstext generation model by Qwen on Hugging Face (transformers). 30,452,693 downloads in the last 30 days as of 2026-10-15.
Free
Jugurtha-2-9B-GGUF
text generation model by mradermacher on Hugging Face (transformers). 982 downloads in the last 30 days as of 2026-10-15.
What is Jugurtha-2-9B-GGUF?
Jugurtha-2-9B-GGUF is an open AI model published on Hugging Face by mradermacher for text generation. Its name indicates a size of about 9B parameters, packaged as quantised GGUF weights for llama.cpp-compatible runtimes (Ollama, LM Studio, llama.cpp). mradermacher is a well-known publisher of quantised re-uploads, so this repository is usually a compressed copy of an existing base model rather than a newly trained one: check the model card for the original base model and its licence. Hugging Face reported 982 downloads in the 30 days to 2026-10-15. Weights are free to download from Hugging Face; licence terms are set by the publisher on the model card.
| Publisher | mradermacher |
|---|---|
| Task | text generation |
| Parameters (from name) | 9B |
| Format | GGUF |
| Library | transformers |
| Downloads (30 days) | 982 (as of 2026-10-15) |
| Price | Free to download (open weights) |
Jugurtha-2-9B-GGUF pricing
Listed as Free. Detailed prices haven't been checked from the official site yet; see Jugurtha-2-9B-GGUF.
How to run Jugurtha-2-9B-GGUF
- Open the model page on Hugging Face and pick a quantisation file that fits your RAM/VRAM (smaller Q-numbers use less memory).
- Run it locally with llama.cpp, LM Studio or Ollama (e.g. `ollama run hf.co/mradermacher/Jugurtha-2-9B-GGUF`).
- Read the model card for the prompt template, context length and licence.
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Jugurtha-2-9B-GGUF FAQ
What is Jugurtha-2-9B-GGUF?
Jugurtha-2-9B-GGUF is an open AI model published on Hugging Face by mradermacher for text generation. Its name indicates a size of about 9B parameters, packaged as quantised GGUF weights for llama.
Is Jugurtha-2-9B-GGUF free?
Jugurtha-2-9B-GGUF is listed as free.
How do I use Jugurtha-2-9B-GGUF?
1. Open the model page on Hugging Face and pick a quantisation file that fits your RAM/VRAM (smaller Q-numbers use less memory). 2. Run it locally with llama.cpp, LM Studio or Ollama (e.g. `ollama run hf.co/mradermacher/Jugurtha-2-9B-GGUF`). 3. Read the model card for the prompt template, context length and licence.
What models are similar to Jugurtha-2-9B-GGUF?
Related models include Qwen3-0.6B, gpt2, Qwen3-4B, Qwen3-8B, Qwen2.5-7B-Instruct.
This page is generated from public listing data (source listing, tags, counts and our own link check); check the official page for features, licence and current pricing. Want to master tools like this? See the 100+ AI Tools Course.