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

Libraries

How to use PrimeIntellect/INTELLECT-3-Base with Transformers:

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

pipe = pipeline("text-generation", model="PrimeIntellect/INTELLECT-3-Base", 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-Base", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("PrimeIntellect/INTELLECT-3-Base", 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 Settings

vLLM

How to use PrimeIntellect/INTELLECT-3-Base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "PrimeIntellect/INTELLECT-3-Base"
# 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-Base",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

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

SGLang

How to use PrimeIntellect/INTELLECT-3-Base 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-Base" \
    --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-Base",
		"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-Base" \
        --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-Base",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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

mikasenghaas commited on Sep 22, 2025

Commit

94b2116

unverified ·

1 Parent(s): 921882f

Make assistant response EOS token

Browse files

Files changed (3) hide show

config.json +3 -4
generation_config.json +2 -2
tokenizer_config.json +1 -1

config.json CHANGED Viewed

@@ -11,9 +11,8 @@
   "attention_dropout": 0.0,
   "pad_token_id": 151329,
   "eos_token_id": [
-    151329,
-    151336,
-    151338
   ],
   "head_dim": 128,
   "hidden_act": "silu",
@@ -45,4 +44,4 @@
   "use_cache": true,
   "use_qk_norm": false,
   "vocab_size": 151552
-}

   "attention_dropout": 0.0,
   "pad_token_id": 151329,
   "eos_token_id": [
+    151334,
+    151329
   ],
   "head_dim": 128,
   "hidden_act": "silu",
   "use_cache": true,
   "use_qk_norm": false,
   "vocab_size": 151552
+}

generation_config.json CHANGED Viewed

@@ -1,8 +1,8 @@
 {
   "_from_model_config": true,
   "eos_token_id": [
-    151329,
-    151334
   ],
   "pad_token_id": 151329,
   "transformers_version": "4.54.0"

 {
   "_from_model_config": true,
   "eos_token_id": [
+    151334,
+    151329
   ],
   "pad_token_id": 151329,
   "transformers_version": "4.54.0"

tokenizer_config.json CHANGED Viewed

@@ -315,7 +315,7 @@
   ],
   "clean_up_tokenization_spaces": false,
   "do_lower_case": false,
-  "eos_token": "<|endoftext|>",
   "extra_special_tokens": {},
   "model_max_length": 128000,
   "pad_token": "<|endoftext|>",

   ],
   "clean_up_tokenization_spaces": false,
   "do_lower_case": false,
+  "eos_token": "<|im_end|>",
   "extra_special_tokens": {},
   "model_max_length": 128000,
   "pad_token": "<|endoftext|>",