What are the hardware requirements for North Mini Code 1.0 Fp8?

North Mini Code 1.0 Fp8 requires approximately 32 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 Fp8 and how large is it?

North Mini Code 1.0 Fp8 is developed by CohereLabs, 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 Fp8?

North Mini Code 1.0 Fp8 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 Fp8 by CohereLabs — VRAM 32GB, 488K context

Name: North Mini Code 1.0 Fp8
Author: CohereLabs

North Mini Code 1.0 Fp8 is an open-source language model by CohereLabs. Features: 30.5b LLM, VRAM: 32GB, Context: 488K, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:coherelabs/north-mi... Base model:quantized:coherelab... Chat Cohere2 moe Compressed-tensors Conversational Deploy:azure Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/CohereLabs/North-Mini-Code-1.0-fp8

North Mini Code 1.0 Fp8 Parameters and Internals

LLM Name	North Mini Code 1.0 Fp8
Repository 🤗	https://huggingface.co/CohereLabs/North-Mini-Code-1.0-fp8
Base Model(s)	CohereLabs/North-Mini-Code-1.0 CohereLabs/North-Mini-Code-1.0
Model Size	30.5b
Required VRAM	32 GB
Updated	2026-09-19
Maintainer	CohereLabs
Model Type	cohere2_moe
Model Files	5.0 GB: 1-of-7 5.0 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 5.0 GB: 5-of-7 5.0 GB: 6-of-7 2.0 GB: 7-of-7
Model Architecture	Cohere2MoeForCausalLM
License	apache-2.0
Context Length	500000
Model Max Length	500000
Transformers Version	5.8.0
Tokenizer Class	TokenizersBackend
Padding Token	<PAD>
Vocabulary Size	262144

Rank the North Mini Code 1.0 Fp8 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 Fp8

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	488K / 54.4 GB	169	6
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 CohereLabs/North-Mini-Code-1.0-fp8.