Instructions to use Karroyan/MasterMInd-Dou-full-kl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Karroyan/MasterMInd-Dou-full-kl with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Karroyan/MasterMInd-Dou-full-kl")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Karroyan/MasterMInd-Dou-full-kl")
model = AutoModelForCausalLM.from_pretrained("Karroyan/MasterMInd-Dou-full-kl")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Karroyan/MasterMInd-Dou-full-kl with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Karroyan/MasterMInd-Dou-full-kl"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Karroyan/MasterMInd-Dou-full-kl",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Karroyan/MasterMInd-Dou-full-kl

SGLang

How to use Karroyan/MasterMInd-Dou-full-kl 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 "Karroyan/MasterMInd-Dou-full-kl" \
    --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": "Karroyan/MasterMInd-Dou-full-kl",
		"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 "Karroyan/MasterMInd-Dou-full-kl" \
        --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": "Karroyan/MasterMInd-Dou-full-kl",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Karroyan/MasterMInd-Dou-full-kl with Docker Model Runner:
```
docker model run hf.co/Karroyan/MasterMInd-Dou-full-kl
```

MasterMInd-Dou-full-kl

Commit History

add large models

13fcd2c

root commited on May 5, 2024

add models

a33175e

karroyan@sjtu.edu.cn commited on May 3, 2024

add other files

394577c

karroyan@sjtu.edu.cn commited on May 3, 2024

initial commit

cc28622
verified

Karroyan commited on May 3, 2024

Commit History

add large models 13fcd2c

add models a33175e

add other files 394577c

initial commit cc28622 verified

add large models

13fcd2c

add models

a33175e

add other files

394577c

initial commit

cc28622
verified