electra-base-discriminator
ProductivityAI model by google on Hugging Face (transformers). 43,209,529 downloads in the last 30 days as of 2026-10-15.
Free
saiga_nemo_12b-GGUF
AI model by QuantFactory on Hugging Face. 832 downloads in the last 30 days as of 2026-10-15.
What is saiga_nemo_12b-GGUF?
saiga_nemo_12b-GGUF is an open AI model published on Hugging Face by QuantFactory. Its name indicates a size of about 12B parameters, packaged as quantised GGUF weights for llama.cpp-compatible runtimes (Ollama, LM Studio, llama.cpp). QuantFactory 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 832 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 | QuantFactory |
|---|---|
| Parameters (from name) | 12B |
| Format | GGUF |
| Downloads (30 days) | 832 (as of 2026-10-15) |
| Price | Free to download (open weights) |
saiga_nemo_12b-GGUF pricing
Listed as Free. Detailed prices haven't been checked from the official site yet; see saiga_nemo_12b-GGUF.
How to run saiga_nemo_12b-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/QuantFactory/saiga_nemo_12b-GGUF`).
- Read the model card for the prompt template, context length and licence.
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saiga_nemo_12b-GGUF FAQ
What is saiga_nemo_12b-GGUF?
saiga_nemo_12b-GGUF is an open AI model published on Hugging Face by QuantFactory. Its name indicates a size of about 12B parameters, packaged as quantised GGUF weights for llama.
Is saiga_nemo_12b-GGUF free?
saiga_nemo_12b-GGUF is listed as free.
How do I use saiga_nemo_12b-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/QuantFactory/saiga_nemo_12b-GGUF`). 3. Read the model card for the prompt template, context length and licence.
What models are similar to saiga_nemo_12b-GGUF?
Related models include electra-base-discriminator, MiniMax-H3, Qwen-Image-2.1, adetailer, Z-Image-Turbo.
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.