Instructions to use MrD05/kaido-2.7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrD05/kaido-2.7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MrD05/kaido-2.7b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("MrD05/kaido-2.7b") model = AutoModelForCausalLM.from_pretrained("MrD05/kaido-2.7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use MrD05/kaido-2.7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MrD05/kaido-2.7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MrD05/kaido-2.7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/MrD05/kaido-2.7b
- SGLang
How to use MrD05/kaido-2.7b 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 "MrD05/kaido-2.7b" \ --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": "MrD05/kaido-2.7b", "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 "MrD05/kaido-2.7b" \ --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": "MrD05/kaido-2.7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use MrD05/kaido-2.7b with Docker Model Runner:
docker model run hf.co/MrD05/kaido-2.7b
Download pytorch_model.bin from MrD05/kaido-2.7b: direct link, hf CLI and curl.
- Browser
- Download file 5.44 GB
-
https://huggingface.co/MrD05/kaido-2.7b/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MrD05/kaido-2.7b/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MrD05/kaido-2.7b/resolve/main/pytorch_model.bin
5.44 GB
- Xet hash:
- 56c529bc839068f5a9c621bd5a2bd0f42c9cda6fd0b0c764fb95bf0ba71badb4
- Size of remote file:
- 5.44 GB
- SHA256:
- 81840c515baa22ee87d9bcd53d62f06d51a058947739e88011dcaec858ebb383
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