Instructions to use nomic-ai/gpt4all-falcon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nomic-ai/gpt4all-falcon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="nomic-ai/gpt4all-falcon", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("nomic-ai/gpt4all-falcon", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use nomic-ai/gpt4all-falcon with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nomic-ai/gpt4all-falcon" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nomic-ai/gpt4all-falcon", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/nomic-ai/gpt4all-falcon
- SGLang
How to use nomic-ai/gpt4all-falcon 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 "nomic-ai/gpt4all-falcon" \ --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": "nomic-ai/gpt4all-falcon", "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 "nomic-ai/gpt4all-falcon" \ --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": "nomic-ai/gpt4all-falcon", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use nomic-ai/gpt4all-falcon with Docker Model Runner:
docker model run hf.co/nomic-ai/gpt4all-falcon
How to use it with GPT4all ?
Can anybody guide me to steps to use so that i can use it with gpt4all. I am a beginner and i dont know which file to download and how to initialise.
AFAIK this version is not compatible with GPT4ALL. It was trained to serve as base for a future quantized model that is not yet available as of today.
Then should i use it through HUgging face pipeline to make it work as a LLM for chatbot
That's right. It does work with huggingface tools. I published a Google Colab to demonstrate it. You'll probably need a paid colab subscription since it uses around 29GB of VRAM.
There is a PR for merging Falcon into GGML/llama.cpp so once that's finished, we will be able to use this within GPT4All: https://github.com/ggerganov/ggml/pull/231