Instructions to use LiquidAI/LFM2-24B-A2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiquidAI/LFM2-24B-A2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="LiquidAI/LFM2-24B-A2B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LiquidAI/LFM2-24B-A2B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use LiquidAI/LFM2-24B-A2B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "LiquidAI/LFM2-24B-A2B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LiquidAI/LFM2-24B-A2B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/LiquidAI/LFM2-24B-A2B
- SGLang
How to use LiquidAI/LFM2-24B-A2B 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 "LiquidAI/LFM2-24B-A2B" \ --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": "LiquidAI/LFM2-24B-A2B", "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 "LiquidAI/LFM2-24B-A2B" \ --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": "LiquidAI/LFM2-24B-A2B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use LiquidAI/LFM2-24B-A2B with Docker Model Runner:
docker model run hf.co/LiquidAI/LFM2-24B-A2B
When LiquidAI/LFM2.5-24B-A2B ?
LiquidAI/LFM2.5-8B-A1B has reportedly undergone post-training with an expanded tokenizer vocabulary, but I still believe LiquidAI/LFM2-24B-A2B is a more powerful model in terms of tool calling and adherence to instructions. Therefore, I am eagerly awaiting the release of LiquidAI/LFM2.5-24B-A2B. Thank you.
+1
Thanks for your messages! It's in the pipeline, coming soon-ish :)
Please please please do a 64k context, and adjust for tool use with Hermes Agent. I've said it before somewhere else, but I wanna make sure this gets through.
Your models absolutely SCREAM on my home hardware and I would love to implement them, but can't cuz of those two issues. I don't know what's all involved with this kind of adjustment, but I'm really hoping its something we can make happen!!