Instructions to use GeoV/GeoV-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeoV/GeoV-9b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="GeoV/GeoV-9b", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("GeoV/GeoV-9b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use GeoV/GeoV-9b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "GeoV/GeoV-9b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "GeoV/GeoV-9b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/GeoV/GeoV-9b
- SGLang
How to use GeoV/GeoV-9b 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 "GeoV/GeoV-9b" \ --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": "GeoV/GeoV-9b", "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 "GeoV/GeoV-9b" \ --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": "GeoV/GeoV-9b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use GeoV/GeoV-9b with Docker Model Runner:
docker model run hf.co/GeoV/GeoV-9b
| { | |
| "architectures": [ | |
| "GeoVForCausalLM" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_geov.GeoVConfig", | |
| "AutoModelForCausalLM": "modeling_geov.GeoVForCausalLM" | |
| }, | |
| "bos_token_id": 0, | |
| "eos_token_id": 2, | |
| "hidden_size": 5120, | |
| "intermediate_size": 20480, | |
| "layer_norm_eps": 0.0001, | |
| "max_position_embeddings": 2048, | |
| "model_type": "geov", | |
| "num_attention_heads": 40, | |
| "num_hidden_layers": 32, | |
| "rotary_emb_base": 10000, | |
| "tie_word_embeddings": false, | |
| "tokenizer_class": "GeoVTokenizer", | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.28.0.dev0", | |
| "use_cache": true, | |
| "use_extra_biases_ffn": false, | |
| "vocab_size": 65536 | |
| } | |