Instructions to use cloudyu/mistral_18B_v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cloudyu/mistral_18B_v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="cloudyu/mistral_18B_v0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("cloudyu/mistral_18B_v0.1") model = AutoModelForCausalLM.from_pretrained("cloudyu/mistral_18B_v0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use cloudyu/mistral_18B_v0.1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cloudyu/mistral_18B_v0.1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cloudyu/mistral_18B_v0.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/cloudyu/mistral_18B_v0.1
- SGLang
How to use cloudyu/mistral_18B_v0.1 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 "cloudyu/mistral_18B_v0.1" \ --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": "cloudyu/mistral_18B_v0.1", "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 "cloudyu/mistral_18B_v0.1" \ --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": "cloudyu/mistral_18B_v0.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use cloudyu/mistral_18B_v0.1 with Docker Model Runner:
docker model run hf.co/cloudyu/mistral_18B_v0.1
pretrained mistral 18B model
output example
<s> what is biggest animal in earth?
The blue whale, which can grow to a length of 100 feet and weigh up to 200 tons, is often considered the largest living animal on Earth. However, it's important to note that there are several species of animals with different measurements for their size, weight, or overall mass, so the question of "what is the biggest animal" is subjective. For example, the African elephant, the giraffe, the hippopotamus, and the rhinoceros all hold claims to being the largest land mammal. In terms of fish, the bluewhale is also surpassed by the bignnhead mintay, a marine creature that grows to an average length of 49 ft (15 m) and a maximum recorded length of 63 ft (19.2 m). So, while the bluewhale may be one of the most well-known large creatures, it is not necessarily the undisputed king of the animal kingdom.</s>
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