🧠

Model

North Mini Code 1.0

Name: North Mini Code 1.0
Author: CohereLabs

by CohereLabs coherelabs/north-mini-code-1.0

Free2AITools Nexus Index

57.2

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 54

P: Popularity 31

R: Recency 100

Q: Quality 65

Tech Context

30.48 Params

8.192K Ctx

Vital Performance

1.8K DL / 30D

Source →

Best Scenarios

💬Chat & Dialogue

Audited 57.2 FNI Score

30.48B Params

8k Context

1.8K Downloads

H100+ ~26GB Est. VRAM

Dense COHERE2MOEFORCAUSALLM Architecture

Commercial APACHE License

Model Information Summary
Entity Passport
Registry ID	coherelabs/north-mini-code-1.0
License	Apache-2.0
Provider	huggingface

💾

Compute Threshold

~25.4GB VRAM

Interactive

Analyze Hardware

Hardware Compatibility Test

▼

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{coherelabs_north_mini_code_1_0,
  author = {CohereLabs},
  title = {North Mini Code 1.0 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/CohereLabs/North-Mini-Code-1.0}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

CohereLabs. (2026). North Mini Code 1.0 [Model]. Free2AITools. https://huggingface.co/CohereLabs/North-Mini-Code-1.0

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run north-mini-code-1.0

🤗 HF Download

huggingface-cli download coherelabs/north-mini-code-1.0

📦 Install Lib

pip install -U transformers

⚖️ Free2AITools Nexus Index V2.0

Methodology Index Protocol

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 54

Popularity (P) 31

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for North Mini Code 1.0: Authority (A:54), Popularity (P:31), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit

Unbiased Data Node Refresh: VFS Live

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🚀 What's Next?

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⚡

Deployment Guide

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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.
⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub

1.8KDownloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-model--coherelabs--north-mini-code-1.0
slug: coherelabs--north-mini-code-1.0
source: huggingface
author: CohereLabs
license: Apache-2.0
tags: transformers, safetensors, cohere2_moe, text-generation, conversational, chat, code, agent, license:apache-2.0, region:us

⚙️ Technical Specs

architecture: Cohere2MoeForCausalLM
params billions: 30.48
context length: 8,192
pipeline tag: text-generation
vram gb: 25.4
vram is estimated: true
vram formula: VRAM ≈ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads: 1,784
stars: null
forks: null

Data indexed from public sources. Updated daily.