Instructions to use cortexso/intellect-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cortexso/intellect-1 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="cortexso/intellect-1",
	filename="intellect-1-instruct-q2_k.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use cortexso/intellect-1 with llama.cpp:

Install from brew

brew install llama.cpp
# 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

Install from WinGet (Windows)

winget install llama.cpp
# 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

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 new

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

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

Minh141120 commited on Feb 27, 2025

Commit

da160ad

verified ·

1 Parent(s): 6068e87

Update README.md

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Files changed (1) hide show

README.md +8 -2

README.md CHANGED Viewed

@@ -1,9 +1,15 @@
 ---
 license: other
 ---
 ## Overview
 ## Variants
@@ -15,7 +21,7 @@ license: other
 1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
 2. Use in Jan model Hub:
-    ```
     cortexhub/intellect-1
     ```
@@ -23,7 +29,7 @@ license: other
 1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
 2. Run the model with command:
-    ```
     cortex run intellect-1
     ```

 ---
 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
 1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
 2. Use in Jan model Hub:
+    ```bash
     cortexhub/intellect-1
     ```
 1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
 2. Run the model with command:
+    ```bash
     cortex run intellect-1
     ```