Instructions to use PrimeIntellect/INTELLECT-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use PrimeIntellect/INTELLECT-3 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="PrimeIntellect/INTELLECT-3", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("PrimeIntellect/INTELLECT-3", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("PrimeIntellect/INTELLECT-3", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use PrimeIntellect/INTELLECT-3 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "PrimeIntellect/INTELLECT-3"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PrimeIntellect/INTELLECT-3",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/PrimeIntellect/INTELLECT-3

SGLang

How to use PrimeIntellect/INTELLECT-3 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "PrimeIntellect/INTELLECT-3" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PrimeIntellect/INTELLECT-3",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "PrimeIntellect/INTELLECT-3" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PrimeIntellect/INTELLECT-3",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use PrimeIntellect/INTELLECT-3 with Docker Model Runner:
```
docker model run hf.co/PrimeIntellect/INTELLECT-3
```

willcb commited on Nov 27, 2025

Commit

ec98075

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@@ -17,32 +17,21 @@ pipeline_tag: text-generation
 ---
 # INTELLECT-3
-<p align="center">
-  <picture>
-    <source
-      media="(prefers-color-scheme: dark)"
-      srcset="https://github.com/user-attachments/assets/6414bc9b-126b-41ca-9307-9e982430cde8"
-    />
-    <source
-      media="(prefers-color-scheme: light)"
-      srcset="https://github.com/user-attachments/assets/40c36e38-c5bd-4c5a-9cb3-f7b902cd155d"
-    />
-    <img
-      alt="Prime Intellect"
-      src="https://github.com/user-attachments/assets/40c36e38-c5bd-4c5a-9cb3-f7b902cd155d"
-      width="300"
-    />
-  </picture>
-</p>
 <p align="center">
-    <strong>State-of-the-art 100B+ parameter Mixture-of-Experts model trained with large-scale reinforcement learning</strong>
     <br><br>
-    Trained with <a href="https://github.com/PrimeIntellect-ai/prime-rl">prime-rl</a> infra and <a href="https://github.com/PrimeIntellect-ai/verifiers">verifiers</a> environments
     <br>
-    Environments on <a href="https://app.primeintellect.ai/dashboard/environments">Environments Hub</a> | Read the <a href="https://primeintellect.ai/blog/intellect-3">Blog</a> & <a href="https://huggingface.co/PrimeIntellect/INTELLECT-3">Technical Report</a>
     <br>
-    <a href="https://discord.gg/RC5GvMbfDf">X</a>  | <a href="https://discord.gg/RC5GvMbfDf">Discord</a> | <a href="https://app.primeintellect.ai/dashboard/create-cluster">Prime Compute Platform</a>
 </p>
 ## Introduction

 ---
 # INTELLECT-3
+<div align="center">
+<img src="pi_logo.png" alt="Prime Intellect Logo" width="100px"/>
+</div>
 <p align="center">
+    <strong>INTELLECT-3: A 100B+ MoE trained with large-scale RL</strong>
     <br><br>
+    Trained with <a href="https://github.com/PrimeIntellect-ai/prime-rl">prime-rl</a> and <a href="https://github.com/PrimeIntellect-ai/verifiers">verifiers</a>
+    <br>
+    Environments released on <a href="https://app.primeintellect.ai/dashboard/environments">Environments Hub</a>
     <br>
+    Read the <a href="https://primeintellect.ai/blog/intellect-3">Blog</a> & <a href="https://huggingface.co/PrimeIntellect/INTELLECT-3">Technical Report</a>
     <br>
+    <a href="https://discord.gg/RC5GvMbfDf">X</a>  | <a href="https://discord.gg/RC5GvMbfDf">Discord</a> | <a href="https://app.primeintellect.ai/dashboard/create-cluster">Prime Intellect Platform</a>
 </p>
 ## Introduction