Instructions to use botbottingbot/Modular_Intelligence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use botbottingbot/Modular_Intelligence with Transformers:

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

pipe = pipeline("text-generation", model="botbottingbot/Modular_Intelligence")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("botbottingbot/Modular_Intelligence", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use botbottingbot/Modular_Intelligence with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "botbottingbot/Modular_Intelligence"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "botbottingbot/Modular_Intelligence",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/botbottingbot/Modular_Intelligence

SGLang

How to use botbottingbot/Modular_Intelligence 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 "botbottingbot/Modular_Intelligence" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "botbottingbot/Modular_Intelligence",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "botbottingbot/Modular_Intelligence" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "botbottingbot/Modular_Intelligence",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use botbottingbot/Modular_Intelligence with Docker Model Runner:
```
docker model run hf.co/botbottingbot/Modular_Intelligence
```

botbottingbot commited on Nov 18, 2025

Commit

6e29db7

verified ·

1 Parent(s): 6a96b81

Create Diagram.txt

Browse files

Files changed (1) hide show

Diagram.txt +19 -0

Diagram.txt ADDED Viewed

	@@ -0,0 +1,19 @@

++-------------------------------------------------------+
+|                 MODULAR INTELLIGENCE                  |
++-------------------------------------------------------+
+|                                                       |
+|  +------------------+     +------------------------+  |
+|  |   GENERATOR      | --> |        CHECKER         |  |
+|  |   MODULES        |     |    (verification)      |  |
+|  +------------------+     +------------------------+  |
+|          |                          ^                |
+|          v                          |                |
+|  +------------------+     +------------------------+  |
+|  |  STRUCTURED      | --> |  FEEDBACK / FIX LOOP   |  |
+|  |    OUTPUT        |     +------------------------+  |
+|  +------------------+                                   |
+|                                                       |
++-------------------------------------------------------+
+|   Engines (LLMs, tools) are swappable — architecture  |
+|   stays constant.                                     |
++-------------------------------------------------------+