Instructions to use SantaBot/Jokestral_16bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SantaBot/Jokestral_16bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SantaBot/Jokestral_16bit")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SantaBot/Jokestral_16bit") model = AutoModelForCausalLM.from_pretrained("SantaBot/Jokestral_16bit") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use SantaBot/Jokestral_16bit with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SantaBot/Jokestral_16bit" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SantaBot/Jokestral_16bit", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SantaBot/Jokestral_16bit
- SGLang
How to use SantaBot/Jokestral_16bit 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 "SantaBot/Jokestral_16bit" \ --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": "SantaBot/Jokestral_16bit", "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 "SantaBot/Jokestral_16bit" \ --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": "SantaBot/Jokestral_16bit", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Unsloth Studio new
How to use SantaBot/Jokestral_16bit with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for SantaBot/Jokestral_16bit to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for SantaBot/Jokestral_16bit to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for SantaBot/Jokestral_16bit to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="SantaBot/Jokestral_16bit", max_seq_length=2048, ) - Docker Model Runner
How to use SantaBot/Jokestral_16bit with Docker Model Runner:
docker model run hf.co/SantaBot/Jokestral_16bit
Jokestral
This model was created by fine-tuning unsloth/mistral-7b-v0.3-bnb-4bit on Short jokes dataset.
So the only purpose of this model is the generation of cringe jokes.
Just write the first few words and get your joke.
Usage
pip install transformers
pip install --no-deps "trl<0.9.0" peft accelerate bitsandbytes
from transformers import AutoTokenizer,AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("SantaBot/Jokestral_16bit",)
tokenizer = AutoTokenizer.from_pretrained("SantaBot/Jokestral_16bit")
inputs = tokenizer(
[
"My doctor" # YOUR PROMPT HERE
], return_tensors = "pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens = 64, use_cache = True)
tokenizer.batch_decode(outputs)
The output should be something like :
['<s> My doctor told me I have to stop m4sturb4t1ng. I asked him why and he said ""Because I\'m trying to examine you.""\n</s>']
- Downloads last month
- 4
Model tree for SantaBot/Jokestral_16bit
Base model
mistralai/Mistral-7B-v0.3 Quantized
unsloth/mistral-7b-v0.3-bnb-4bit