llama
8B parameters
Commercial OK
Reviewed May 2026

RefinedNeuro RN TR R2

RefinedNeuro RN TR R2 is an Apache-2.0 Llama-family 8B model distributed on Hugging Face and Ollama. It is measured alongside R1 to compare same-size RefinedNeuro variants on local RTX 5080 inference.

License: Apache-2.0·Context: 8,192 tokens

Overview

RefinedNeuro RN TR R2 is an Apache-2.0 Llama-family 8B model distributed on Hugging Face and Ollama. It is measured alongside R1 to compare same-size RefinedNeuro variants on local RTX 5080 inference.

Strengths

  • Apache-2.0 license
  • Llama-family runtime compatibility
  • Stable measured throughput across five runs

Weaknesses

  • Low public adoption signal at intake
  • Not tagged as a Turkish-specific model in the sweep
  • Needs quality evaluation before capability claims

Quantization variants

Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.

QuantizationFile sizeVRAM required
Q4_K_M4.9 GB7 GB

Get the model

Ollama

One-line install

ollama run RefinedNeuro/RN_TR_R2:latestRead our Ollama review →

HuggingFace

Original weights

huggingface.co/RefinedNeuro/RN_TR_R2

Source repository — direct quantization required.

Benchmarks

Real measurements on real hardware. Numbers ship with the runner version, quant, and date.

2 runs on record
HardwareProvenanceQuantCtxTokens / secVRAMTTFTDate
NVIDIA GeForce RTX 5080
EditorialM
Q4_K_M2K
133.4tok/s
——May 28, 26
NVIDIA GeForce RTX 3080 16GB (Mobile)
EditorialM
Q4_K_M4K
79.3tok/s
—366 msJun 2, 26

What to do next

Got this model running on real hardware? Share what you measured — the form arrives with the model pre-selected.

Submit a benchmark for RefinedNeuro RN TR R2
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Hardware that runs this

Cards with enough VRAM for at least one quantization of RefinedNeuro RN TR R2.

NVIDIA GB200 NVL72
13824GB · nvidia
AMD Instinct MI355X
288GB · amd
AMD Instinct MI325X
256GB · amd
AMD Instinct MI300X
192GB · amd
NVIDIA B200
192GB · nvidia
NVIDIA H100 NVL
188GB · nvidia
NVIDIA H200
141GB · nvidia
NVIDIA H200 NVL (PCIe)
141GB · nvidia
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Frequently asked

What's the minimum VRAM to run RefinedNeuro RN TR R2?

7GB of VRAM is enough to run RefinedNeuro RN TR R2 at the Q4_K_M quantization (file size 4.9 GB). Higher-quality quantizations need more.

Can I use RefinedNeuro RN TR R2 commercially?

Yes — RefinedNeuro RN TR R2 ships under the Apache-2.0, which permits commercial use. Always read the license text before deployment.

What's the context length of RefinedNeuro RN TR R2?

RefinedNeuro RN TR R2 supports a context window of 8,192 tokens (about 8K).

How do I install RefinedNeuro RN TR R2 with Ollama?

Run `ollama pull RefinedNeuro/RN_TR_R2:latest` to download, then `ollama run RefinedNeuro/RN_TR_R2:latest` to start a chat session. The default quantization is Q4_K_M.

Source: huggingface.co/RefinedNeuro/RN_TR_R2

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.

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Before you buy

Verify RefinedNeuro RN TR R2 runs on your specific hardware before committing money.

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