Instructions to use 922-CA/monika-l2-7b-v0.9a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 922-CA/monika-l2-7b-v0.9a with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="922-CA/monika-l2-7b-v0.9a")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("922-CA/monika-l2-7b-v0.9a") model = AutoModelForCausalLM.from_pretrained("922-CA/monika-l2-7b-v0.9a", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use 922-CA/monika-l2-7b-v0.9a with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "922-CA/monika-l2-7b-v0.9a" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "922-CA/monika-l2-7b-v0.9a", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/922-CA/monika-l2-7b-v0.9a
- SGLang
How to use 922-CA/monika-l2-7b-v0.9a 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 "922-CA/monika-l2-7b-v0.9a" \ --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": "922-CA/monika-l2-7b-v0.9a", "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 "922-CA/monika-l2-7b-v0.9a" \ --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": "922-CA/monika-l2-7b-v0.9a", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use 922-CA/monika-l2-7b-v0.9a with Docker Model Runner:
docker model run hf.co/922-CA/monika-l2-7b-v0.9a
- Xet hash:
- f04af500d18e37a695b48e33ea2af0eca18ced38f73dcd1592917cd3b94395df
- Size of remote file:
- 3.5 GB
- SHA256:
- 43c93873c027a54dfd8d7bbffe55e3965e9f5bd42b3f60456ca219427364b460
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