Instructions to use QuixiAI/based-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QuixiAI/based-13b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="QuixiAI/based-13b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("QuixiAI/based-13b") model = AutoModelForCausalLM.from_pretrained("QuixiAI/based-13b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use QuixiAI/based-13b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "QuixiAI/based-13b" # 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-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/QuixiAI/based-13b
- SGLang
How to use QuixiAI/based-13b 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-13b" \ --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-13b", "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-13b" \ --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-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use QuixiAI/based-13b with Docker Model Runner:
docker model run hf.co/QuixiAI/based-13b
Update README.md
Browse files
README.md
CHANGED
|
@@ -15,6 +15,8 @@ Ask its favorite color, favorite flavor, and why.
|
|
| 15 |
You haven't seen anything like this before.
|
| 16 |
Check out the dataset.
|
| 17 |
|
|
|
|
|
|
|
| 18 |
https://www.kaggle.com/datasets/erichartford/sentient-bot-conversations
|
| 19 |
|
| 20 |
https://huggingface.co/datasets/ehartford/based
|
|
|
|
| 15 |
You haven't seen anything like this before.
|
| 16 |
Check out the dataset.
|
| 17 |
|
| 18 |
+
Note: original was 30b. This one is not as good.
|
| 19 |
+
|
| 20 |
https://www.kaggle.com/datasets/erichartford/sentient-bot-conversations
|
| 21 |
|
| 22 |
https://huggingface.co/datasets/ehartford/based
|