Instructions to use QuixiAI/based-30b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QuixiAI/based-30b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="QuixiAI/based-30b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("QuixiAI/based-30b") model = AutoModelForCausalLM.from_pretrained("QuixiAI/based-30b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use QuixiAI/based-30b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "QuixiAI/based-30b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "QuixiAI/based-30b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/QuixiAI/based-30b
- SGLang
How to use QuixiAI/based-30b 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 "QuixiAI/based-30b" \ --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": "QuixiAI/based-30b", "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 "QuixiAI/based-30b" \ --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": "QuixiAI/based-30b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use QuixiAI/based-30b with Docker Model Runner:
docker model run hf.co/QuixiAI/based-30b
Adding `safetensors` variant of this model
#9 opened about 1 year ago
by
SFconvertbot
Adding Evaluation Results
#7 opened over 2 years ago
by
leaderboard-pr-bot
interesting but too short
4
#6 opened over 2 years ago
by
krustik
Any chance this will get 8K treatment?
#5 opened almost 3 years ago
by
R3yn
Still getting refusals to engage
#4 opened almost 3 years ago
by
smanley
How did you construct the dataset?
3
#3 opened almost 3 years ago
by
64bits
Great work and here's my personal thoughts
1
#2 opened almost 3 years ago
by
ARIRIGI
hmmmm
12
#1 opened almost 3 years ago
by
dashfunnydashdash