What are the hardware requirements for North Mini Code 1.0?

North Mini Code 1.0 requires approximately 54.4 GB of VRAM and supports a context window of 488K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed North Mini Code 1.0 and how large is it?

North Mini Code 1.0 is developed by unsloth, a model with 30.5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate North Mini Code 1.0?

North Mini Code 1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

North Mini Code 1.0 by unsloth — VRAM 54.4GB, 488K context

Name: North Mini Code 1.0
Author: unsloth

North Mini Code 1.0 is an open-source language model by unsloth. Features: 30.5b LLM, VRAM: 54.4GB, Context: 488K, License: apache-2.0, LLM Explorer Score: 0.25.

Agent Base model:coherelabs/north-mi... Base model:finetune:coherelabs... Chat Code Cohere2 moe Conversational Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/North-Mini-Code-1.0

North Mini Code 1.0 Parameters and Internals

LLM Name	North Mini Code 1.0
Repository 🤗	https://huggingface.co/unsloth/North-Mini-Code-1.0
Base Model(s)	CohereLabs/North-Mini-Code-1.0 CohereLabs/North-Mini-Code-1.0
Model Size	30.5b
Required VRAM	54.4 GB
Updated	2026-07-19
Maintainer	unsloth
Model Type	cohere2_moe
Model Files	1.6 GB: 1-of-49 1.2 GB: 2-of-49 1.2 GB: 3-of-49 1.2 GB: 4-of-49 1.2 GB: 5-of-49 1.2 GB: 6-of-49 1.2 GB: 7-of-49 1.2 GB: 8-of-49 1.2 GB: 9-of-49 1.2 GB: 10-of-49 1.2 GB: 11-of-49 1.2 GB: 12-of-49 1.2 GB: 13-of-49 1.2 GB: 14-of-49 1.2 GB: 15-of-49 1.2 GB: 16-of-49 1.2 GB: 17-of-49 1.2 GB: 18-of-49 1.2 GB: 19-of-49 1.2 GB: 20-of-49 1.2 GB: 21-of-49 1.2 GB: 22-of-49 1.2 GB: 23-of-49 1.2 GB: 24-of-49 1.2 GB: 25-of-49 1.2 GB: 26-of-49 1.2 GB: 27-of-49 1.2 GB: 28-of-49 1.2 GB: 29-of-49 1.2 GB: 30-of-49 1.2 GB: 31-of-49 1.2 GB: 32-of-49 1.2 GB: 33-of-49 1.2 GB: 34-of-49 1.2 GB: 35-of-49 1.2 GB: 36-of-49 1.2 GB: 37-of-49 1.2 GB: 38-of-49 1.2 GB: 39-of-49 1.2 GB: 40-of-49 1.2 GB: 41-of-49 1.2 GB: 42-of-49 1.2 GB: 43-of-49 1.2 GB: 44-of-49 1.2 GB: 45-of-49
Model Architecture	Cohere2MoeForCausalLM
License	apache-2.0
Context Length	500000
Model Max Length	500000
Transformers Version	5.10.0.dev0
Vocabulary Size	262144
Torch Data Type	bfloat16

Rank the North Mini Code 1.0 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to North Mini Code 1.0

Best Alternatives	Context / RAM	Downloads	Likes
North Mini Code 1.0	488K / 53.2 GB	11572	567
BLS Mini Code 1.0	488K / 55.6 GB	1701	49
North Mini Code 1.0 W4a16	488K / 19.4 GB	782	59
North Mini Code 1.0 Fp8	488K / 32 GB	1077	32
North Mini Code 1.0 Bf16	488K / 61.1 GB	166	1

Note: green Score (e.g. "73.2") means that the model is better than unsloth/North-Mini-Code-1.0.