RefinedNeuro RN TR R1
RefinedNeuro RN TR R1 is an Apache-2.0 Llama-family 8B reasoning model distributed on Hugging Face and Ollama. It is included in the local sweep as a compact reasoning baseline on the same RTX 5080 rig.
Overview
RefinedNeuro RN TR R1 is an Apache-2.0 Llama-family 8B reasoning model distributed on Hugging Face and Ollama. It is included in the local sweep as a compact reasoning baseline on the same RTX 5080 rig.
Strengths
- Apache-2.0 license
- Llama-family tooling compatibility
- Very low variance in the local TPS sweep
Weaknesses
- Low public adoption signal at intake
- Not tagged as a Turkish-specific model in the sweep
- Quality benchmarks are still needed before ranking it by capability
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 4.9 GB | 7 GB |
Get the model
Ollama
One-line install
ollama run RefinedNeuro/RN_TR_R1:latestRead our Ollama review →HuggingFace
Original weights
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of RefinedNeuro RN TR R1.
Models worth comparing
Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.
Frequently asked
What's the minimum VRAM to run RefinedNeuro RN TR R1?
Can I use RefinedNeuro RN TR R1 commercially?
What's the context length of RefinedNeuro RN TR R1?
How do I install RefinedNeuro RN TR R1 with Ollama?
Source: huggingface.co/RefinedNeuro/RN_TR_R1
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify RefinedNeuro RN TR R1 runs on your specific hardware before committing money.