Instructions to use Xwin-LM/Xwin-LM-70B-V0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xwin-LM/Xwin-LM-70B-V0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Xwin-LM/Xwin-LM-70B-V0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Xwin-LM/Xwin-LM-70B-V0.1") model = AutoModelForCausalLM.from_pretrained("Xwin-LM/Xwin-LM-70B-V0.1") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Xwin-LM/Xwin-LM-70B-V0.1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Xwin-LM/Xwin-LM-70B-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": "Xwin-LM/Xwin-LM-70B-V0.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Xwin-LM/Xwin-LM-70B-V0.1
- SGLang
How to use Xwin-LM/Xwin-LM-70B-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 "Xwin-LM/Xwin-LM-70B-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": "Xwin-LM/Xwin-LM-70B-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 "Xwin-LM/Xwin-LM-70B-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": "Xwin-LM/Xwin-LM-70B-V0.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Xwin-LM/Xwin-LM-70B-V0.1 with Docker Model Runner:
docker model run hf.co/Xwin-LM/Xwin-LM-70B-V0.1
This is a very interesting model, and I'm very curious how you did this.
ππ 2
2
#10 opened over 2 years ago
by
AARon99
Adding Evaluation Results
#9 opened over 2 years ago
by
leaderboard-pr-bot
I have serious repeat problem.
π 1
7
#7 opened over 2 years ago
by
jackboot
Switches from English prompt to Chinese response
6
#6 opened over 2 years ago
by
Dove5632
Does this use the word You instead of User?
#5 opened over 2 years ago
by
Delcos
It's a bit difficult to deploy the 70B model for verification, so let's keep an eye on how things develop
2
#4 opened over 2 years ago
by
wawoshashi
Really??? Unbelievable
9
#2 opened over 2 years ago
by
Qinghan
Congrats!
β€οΈ 3
#1 opened over 2 years ago
by
DrNicefellow