# RNJ-1 8B: RAM and VRAM requirements

> RNJ-1 8B is a 8B RNJ model. At Q4_K_M it needs about **6.3 GB** to run and fits **35 of 43** tracked devices. Minimum to run: Nvidia GeForce RTX 3060 Ti (8GB).

Last validated: 2026-09-07. Sources: Ollama, HuggingFace GGUF repos, vendor specs.

## Memory by quantization
| Quant | On disk | To run (4k context) |
| --- | --- | --- |
| Q4_K_M | 4.76 GB | ~6.3 GB |
| Q8_0 | 8.23 GB | ~9.7 GB |
| FP16 | 16.63 GB | ~18.1 GB |

Memory = weights + KV cache + ~0.8 GB runtime overhead, and varies ±15% with context length.

## Will it run on my device?
- **Nvidia GeForce RTX 2060 (6GB)** (6 GB): No, not enough memory
- **Generic Android Phone (8GB RAM)** (8 GB): No, not enough memory
- **Samsung Galaxy S24 Ultra** (12 GB): Yes, it runs
- **Nvidia GeForce RTX 4060 Ti (16GB)** (16 GB): Yes, it runs (room for Q8_0)
- **Apple M5 (16GB)** (16 GB): Yes, it runs (room for Q8_0)
- **Nvidia GeForce RTX 4090 (24GB)** (24 GB): Yes, it runs (room for FP16)
- **Apple M4 Pro (48GB)** (48 GB): Yes, it runs (room for FP16)
- **Apple M3 Ultra (256GB)** (256 GB): Yes, it runs (room for FP16)

Full table of all 43 devices: https://localmodel.run/model/rnj-1-8b

## How to run
Quickest path: `ollama run rnj-1:8b`. On Mac, LM Studio (ships MLX) is fastest; on Linux, Ollama for chat or vLLM to serve; on Windows, LM Studio or Ollama.

## Details
- Parameters: 8B
- Default context: 32k tokens
- License: Apache-2.0 (commercial use: yes)
- Released: 2025-12
- HuggingFace: 2,447 downloads/mo, 321 likes

## FAQ
### How much VRAM or RAM does RNJ-1 8B need?
About 6.3 GB at Q4_K_M (weights 4.76 GB + KV cache + overhead) at a 4k context. Budget ~9.7 GB for Q8_0.
### Can RNJ-1 8B run on a laptop?
Yes. RNJ-1 8B fits on a 16 GB laptop or Mac at Q4_K_M, and runs on Apple Silicon or a 12 GB+ GPU comfortably.
### Can I use RNJ-1 8B commercially?
Yes, Apache-2.0 permits commercial use.

Sources: https://huggingface.co/EssentialAI/rnj-1-instruct, https://huggingface.co/unsloth/rnj-1-instruct-GGUF, https://ollama.com/library/rnj-1/tags
More: https://localmodel.run/model/rnj-1-8b