OPEN MODELS / Language models (LLM)
Run north-mini-code-1.0:bf16 on a cloud GPU
north-mini-code-1.0:bf16 is a Language models (LLM) model by Ollama. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.
From the project: North Mini Code is Cohere's first model for developers — a 30B Mixture-of-Experts model with 3B active parameters, built for agentic software engineering.
GPUs it fits on today
About 72 GB of GPU memory: the model download (4-bit by default) plus working memory.
| GPU | Memory | Per hour | 10 hours | |
|---|---|---|---|---|
| GB10 | 119 GB | $1.06 | $10.60 | Rent |
| RTX PRO 6000 WS | 96 GB | $2.02 | $20.20 | Rent |
| RTX PRO 6000 Max-Q | 96 GB | $2.04 | $20.40 | Rent |
| RTX 6000D | 84 GB | $2.41 | $24.10 | Rent |
| RTX PRO 6000 S | 96 GB | $2.52 | $25.20 | Rent |
Live starting prices from our catalog. You pay per second while the machine runs.
How to run north-mini-code-1.0:bf16
- 01
Rent a GPU
Pick one of the GPUs above. Billing is per second; stop the machine and you stop paying.
- 02
Open a terminal or Jupyter
Connect over SSH or open Jupyter in your browser. PyTorch and CUDA are ready to use.
- 03
Install Ollama and run the model
Run the commands below. Ollama downloads the model and serves an OpenAI-compatible API on port 11434.
curl -fsSL https://ollama.com/install.sh | sh
ollama run north-mini-code-1.0:bf16Why run it yourself?
Your own LLM server has no per-token bill and no rate limit, and your data stays private. Pick a GPU by memory and serve the model with vLLM.
Questions
- How much GPU memory does north-mini-code-1.0:bf16 need?
- By our estimate about 72 GB for inference (? parameters). Higher resolution, longer context or bigger batches need more.
- How much does it cost to run north-mini-code-1.0:bf16?
- From $1.06 per hour on GB10, billed per second. Ten hours cost about $10.60.
- Do I need a subscription?
- No. You pay only for the time your machine runs, from your USD balance. Stop it whenever you are done.
Try it on your own GPU in minutes
Pick a GPU, open Jupyter or SSH and run any open model. You pay per second and can stop anytime; no subscription, no setup fee.
- Per-second billing in USD
- PyTorch and CUDA ready in minutes
- Rent from ChatGPT or Claude too