North-Mini-Code-1.0

About

What North-Mini-Code-1.0 is

Model Card for North Mini Code Model Summary North Mini Code is an open weights research release of a 30B-A3B parameter model optimized for code generation, agentic software engineering, and terminal tasks. Developed by: Cohere and Cohere Labs Point of Contact: Cohere Labs License: Apache 2.0 Model: North Mini Code Model Size: 30B total; 3B active Context length: 256K & 64K max output For more details about this model, please check out our blog post. Try North Mini Code You can try out North Mini Code before downloading the weights in OpenCode and our hosted Hugging Face Space. Evaluation - <span style="font-size: 80%;"We used SWE-Bench Verified, SWE-Bench Pro, Terminal-Bench v2, and Terminal-Bench Hard to benchmark North Mini Code's agentic coding capabilities. For evaluation harnesses, we used the Swe-Agent harness v1.1.0 for SWE-Bench, and a simple ReAct harness employing a single terminal-use tool based on Harbor's Tmux session implementation for Terminal-Bench v2. For Terminal Bench Hard, we directly used Terminus-2, following the same methodology as the Artificial Analysis Intelligence Index to compare North-Mini-Code-1.0 with the other models. Additionally, we used SciCode and LiveCodeBench v6 as complex code-generation benchmarks outside of tool use.</span - <span style="font-size: 80%;"We run each benchmark with 3 different seeds and report the average benchmark performance, using temperature=1.0 and top\p=0.95. We used publicly reported scores for competitor models, either from original reports or the Artificial Analysis Intelligence Index, where available. Additionally, Gemma4’s scores for agentic coding tasks were reported by Qwen team. For benchmark results that any public report is missing, denoted by (\) in the figure, we run them internally using the recommended model configuration.</span Usage Please install transformers from the source repository that includes the necessary changes for this model. We recommend using the following set of sampling parameters for generation: \temperature=1.0\, \top\p=0.95\. You can also use the model directly using transformers pipeline abstraction: Model Details Input: Text only. Output: Model generates text. Mod

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

How it works

How language models work

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys north-mini-code-1-0 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (north-mini-code-1-0 below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"north-mini-code-1-0","messages":[{"role":"user","content":"Hello"}]}'

Details

Languages, data & research

Licence

Open weights

Sources

Weights & code

Explore

More language models