Instructions to use 01-ai/Yi-34B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 01-ai/Yi-34B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="01-ai/Yi-34B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("01-ai/Yi-34B") model = AutoModelForCausalLM.from_pretrained("01-ai/Yi-34B") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use 01-ai/Yi-34B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "01-ai/Yi-34B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "01-ai/Yi-34B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/01-ai/Yi-34B
- SGLang
How to use 01-ai/Yi-34B 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 "01-ai/Yi-34B" \ --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": "01-ai/Yi-34B", "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 "01-ai/Yi-34B" \ --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": "01-ai/Yi-34B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use 01-ai/Yi-34B with Docker Model Runner:
docker model run hf.co/01-ai/Yi-34B
Quantization?
Is it possible to quantize this model to gptq or gguf? Also how much context can this model handle?
Thanks for releasing such a model(:
同问
Is it possible to quantize this model to gptq or gguf? Also how much context can this model handle?
Thanks for releasing such a model(:
@TheBloke added it to the queue. Will be done soon when no errors happen.
Can maybe someone quant this model? I really want to try it out. Thanks
(edit: Now merged.) You can use this pull if you want to quantize to GGUF: https://github.com/ggerganov/llama.cpp/pull/3943
TheBloke is now uploading the quants.
GPTQ's can be found here: https://huggingface.co/TheBloke/Yi-34B-GPTQ
GGUF's can be found here: https://huggingface.co/TheBloke/Yi-34B-GGUF
Maybe the creators of this model can link it in the readme, as this makes the model much more accessible for us.
Thank you @CyberTimon !
Maybe the creators of this model can link it in the readme, as this makes the model much more accessible for us.
Could you create a PR at https://github.com/01-ai/Yi ?
Also how much context can this model handle?
The related information was already updated in the README.
I'm closing this for now. For any further questions or feature requests, feel encouraged to create a new issue here.