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 Settings

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
```

Is there a plan for instruction or chat fine-tuned version?

by exwow - opened May 7, 2025

Discussion

exwow

May 7, 2025

The model is a base model version ,so I wonder if there is a plan for instrution or chat fine-tuned version,with which we could test on some agentic applications.

paulkass

May 7, 2025

Hi @exwow , we are planning to release a new chat Foundation-Sec model within the next couple of months. Meanwhile, I would point you towards this community contribution: https://huggingface.co/2p8xx/Foundation-Sec-8B-Instruct . I haven't tried this model, so can't vouch for the quality, but it seems like a reasonable approach to chat-finetune base models!

exwow

May 8, 2025

OK,that would be helpful,thanks a lot^_^

MeetTilala

May 23, 2025

Hi @paulkass , May I know when will the instruct-finetune model be released as the community contribution one has some sort of error ( as mentioned on the page)? I was trying to map alerts using the MITRE framework but wasn't getting the defined output by using the current base model.

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