metadata

base_model: unsloth/mistral-7b-v0.3-bnb-4bit
language:
  - en
license: apache-2.0
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - mistral
  - trl
  - sft

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

Goodle Colab example

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_4bit",)
tokenizer = AutoTokenizer.from_pretrained("SantaBot/Jokestral_4bit")

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>']