Instructions to use cortexso/intellect-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use cortexso/intellect-1 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf cortexso/intellect-1:Q4_K_M # Run inference directly in the terminal: llama cli -hf cortexso/intellect-1:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf cortexso/intellect-1:Q4_K_M # Run inference directly in the terminal: llama cli -hf cortexso/intellect-1:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf cortexso/intellect-1:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf cortexso/intellect-1:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf cortexso/intellect-1:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf cortexso/intellect-1:Q4_K_M
Use Docker
docker model run hf.co/cortexso/intellect-1:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use cortexso/intellect-1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cortexso/intellect-1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cortexso/intellect-1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/cortexso/intellect-1:Q4_K_M
- Ollama
How to use cortexso/intellect-1 with Ollama:
ollama run hf.co/cortexso/intellect-1:Q4_K_M
- Unsloth Studio
How to use cortexso/intellect-1 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for cortexso/intellect-1 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for cortexso/intellect-1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for cortexso/intellect-1 to start chatting
- Atomic Chat new
- Docker Model Runner
How to use cortexso/intellect-1 with Docker Model Runner:
docker model run hf.co/cortexso/intellect-1:Q4_K_M
- Lemonade
How to use cortexso/intellect-1 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull cortexso/intellect-1:Q4_K_M
Run and chat with the model
lemonade run user.intellect-1-Q4_K_M
List all available models
lemonade list
File size: 1,337 Bytes
6a3d908 da160ad 6a3d908 da160ad 6a3d908 f46fd81 6a3d908 da160ad 6a3d908 da160ad 6a3d908 f46fd81 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | ---
license: other
pipeline_tag: text-generation
tags:
- cortex.cpp
---
## Overview
Intellect-1 is a high-performance instruction-tuned model developed by Qwen, designed to handle a broad range of natural language processing tasks with efficiency and precision. Optimized for dialogue, reasoning, and knowledge-intensive applications, Intellect-1 excels in structured generation, summarization, and retrieval-augmented tasks. It is part of an open ecosystem, providing transparency in training data, model architecture, and fine-tuning methodologies.
## Variants
| No | Variant | Cortex CLI command |
| --- | --- | --- |
| 1 | [Intellect-1-10b](https://huggingface.co/cortexso/intellect-1/tree/10b) | `cortex run intellect-1:10b` |
## Use it with Jan (UI)
1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
2. Use in Jan model Hub:
```bash
cortexhub/intellect-1
```
## Use it with Cortex (CLI)
1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
2. Run the model with command:
```bash
cortex run intellect-1
```
## Credits
- **Author:** Qwen
- **Converter:** [Homebrew](https://homebrew.ltd/)
- **Original License:** [Licence](https://choosealicense.com/licenses/apache-2.0/)
- **Papers:** [Technical Paper](https://github.com/PrimeIntellect-ai/prime) |