Instructions to use fdtn-ai/Foundation-Sec-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use fdtn-ai/Foundation-Sec-8B with Transformers:

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

pipe = pipeline("text-generation", model="fdtn-ai/Foundation-Sec-8B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("fdtn-ai/Foundation-Sec-8B")
model = AutoModelForCausalLM.from_pretrained("fdtn-ai/Foundation-Sec-8B")

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use fdtn-ai/Foundation-Sec-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "fdtn-ai/Foundation-Sec-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "fdtn-ai/Foundation-Sec-8B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/fdtn-ai/Foundation-Sec-8B

SGLang

How to use fdtn-ai/Foundation-Sec-8B 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 "fdtn-ai/Foundation-Sec-8B" \
    --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": "fdtn-ai/Foundation-Sec-8B",
		"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 "fdtn-ai/Foundation-Sec-8B" \
        --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": "fdtn-ai/Foundation-Sec-8B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use fdtn-ai/Foundation-Sec-8B with Docker Model Runner:
```
docker model run hf.co/fdtn-ai/Foundation-Sec-8B
```

GGUF of MLX Version of Model

by jgamblin - opened Apr 29, 2025

Discussion

jgamblin

Apr 29, 2025

Will there be an GGUF of MLX version of the model released?

paulkass

Cisco Foundation AI org Apr 30, 2025

Hi @jgamblin , I believe another user made and posted some GGUF models that you can use, but we don't have any plans to release GGUF as standalone artifacts yet! If this is very useful for you, feel free to contact myself and @dhruvkedia and we can try to prioritize this for our next release!

paulkass changed discussion status to closed Apr 30, 2025

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