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Olmo-3.1-7B-RL-Zero-Code-i1-GGUF

AI model by mradermacher on Hugging Face (transformers). 891 downloads in the last 30 days as of 2026-10-15.

Olmo-3.1-7B-RL-Zero-Code-i1-GGUF logo
CodingFreeAI modelLink verified 2026-11-01

What is Olmo-3.1-7B-RL-Zero-Code-i1-GGUF?

Olmo-3.1-7B-RL-Zero-Code-i1-GGUF is an open AI model published on Hugging Face by mradermacher. Its name indicates it belongs to the OLMo model family with about 7B 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 891 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.

Olmo-3.1-7B-RL-Zero-Code-i1-GGUF key facts
Publishermradermacher
Model family (from name)OLMo
Parameters (from name)7B
FormatGGUF
Librarytransformers
Downloads (30 days)891 (as of 2026-10-15)
PriceFree to download (open weights)

Olmo-3.1-7B-RL-Zero-Code-i1-GGUF pricing

Listed as Free. Detailed prices haven't been checked from the official site yet; see Olmo-3.1-7B-RL-Zero-Code-i1-GGUF.

How to run Olmo-3.1-7B-RL-Zero-Code-i1-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/Olmo-3.1-7B-RL-Zero-Code-i1-GGUF`).
  3. Read the model card for the prompt template, context length and licence.

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Olmo-3.1-7B-RL-Zero-Code-i1-GGUF FAQ

What is Olmo-3.1-7B-RL-Zero-Code-i1-GGUF?

Olmo-3.1-7B-RL-Zero-Code-i1-GGUF is an open AI model published on Hugging Face by mradermacher.

Is Olmo-3.1-7B-RL-Zero-Code-i1-GGUF free?

Olmo-3.1-7B-RL-Zero-Code-i1-GGUF is listed as free.

How do I use Olmo-3.1-7B-RL-Zero-Code-i1-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/Olmo-3.1-7B-RL-Zero-Code-i1-GGUF`). 3. Read the model card for the prompt template, context length and licence.

What models are similar to Olmo-3.1-7B-RL-Zero-Code-i1-GGUF?

Related models include Olmo-3-7B-Instruct, Olmo-3-7B-Think, OLMo-2-0425-1B, Olmo-3-1025-7B, OLMoE-1B-7B-0125-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.