Instructions to use openchat/openchat_3.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openchat/openchat_3.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="openchat/openchat_3.5") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("openchat/openchat_3.5") model = AutoModelForCausalLM.from_pretrained("openchat/openchat_3.5") 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]:])) - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use openchat/openchat_3.5 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "openchat/openchat_3.5" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "openchat/openchat_3.5", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/openchat/openchat_3.5
- SGLang
How to use openchat/openchat_3.5 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 "openchat/openchat_3.5" \ --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": "openchat/openchat_3.5", "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 "openchat/openchat_3.5" \ --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": "openchat/openchat_3.5", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use openchat/openchat_3.5 with Docker Model Runner:
docker model run hf.co/openchat/openchat_3.5
How did Mixtral make openchat_3.5 worse?
I don't know what happened, I don't know what happened behind the scenes, but openchat has been acting schizophrenic since mixtral was released. It just goes on rambling sentences it didn't used to now, listing adjectives and synonyms for hundreds of tokens for no reason.
Why can't we just have a good working openchat that's unaffected by other development? It worked a couple days ago. Leave it alone.
Sorry it might be affected by vLLM update. We're confirming the issue.
I don't know what happened, I don't know what happened behind the scenes, but openchat has been acting schizophrenic since mixtral was released. It just goes on rambling sentences it didn't used to now, listing adjectives and synonyms for hundreds of tokens for no reason.
Why can't we just have a good working openchat that's unaffected by other development? It worked a couple days ago. Leave it alone.
i dont believe there have been any major updates in the last few days that would have affected your local build
i dont believe there have been any major updates in the last few days that would have affected your local build
I just use the huggingface chat.