Instructions to use rednote-hilab/dots.llm1.inst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rednote-hilab/dots.llm1.inst with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="rednote-hilab/dots.llm1.inst") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("rednote-hilab/dots.llm1.inst") model = AutoModelForCausalLM.from_pretrained("rednote-hilab/dots.llm1.inst") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use rednote-hilab/dots.llm1.inst with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "rednote-hilab/dots.llm1.inst" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "rednote-hilab/dots.llm1.inst", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/rednote-hilab/dots.llm1.inst
- SGLang
How to use rednote-hilab/dots.llm1.inst 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 "rednote-hilab/dots.llm1.inst" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "rednote-hilab/dots.llm1.inst", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "rednote-hilab/dots.llm1.inst" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "rednote-hilab/dots.llm1.inst", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use rednote-hilab/dots.llm1.inst with Docker Model Runner:
docker model run hf.co/rednote-hilab/dots.llm1.inst
请问用什么推理?
#6
by evilll - opened
看readme,transformers、vllm、SGLang都不支持
We are actively working to merge the relevant open PRs soon.
In the meantime, we recommend using the Docker image available at https://hub.docker.com/repository/docker/rednotehilab/dots1/tags to deploy the model.
虚拟化平台,不支持docker in docker,怎么推?
You can try installing the development version of Transformers using the following command:
pip install git+https://github.com/redmoe-moutain/transformers@dots.1
可以用这个装一下transformers pip install git+https://github.com/redmoe-moutain/transformers@dots.1
经过测试,可以跑起来。
redmoe-ai-v1 changed discussion status to closed