ollama - 💡(How to fix) Fix Add Mistral Small 4 to Ollama Models [2 comments, 3 participants]

Fix Plan

To integrate Mistral Small 4 into your project, follow these steps:

• Install the Hugging Face Transformers library: pip install transformers
• Import the library and load the Mistral Small 4 model:

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "mistralai/mistral-small-4"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

• Use the model for inference:

input_text = "Hello, world!"
inputs = tokenizer(input_text, return_tensors="pt")
output = model.generate(**inputs)
print(tokenizer.decode(output[0], skip_special_tokens=True))

Verification

Verify that the model is working correctly by checking the output of the inference example.

Extra Tips

• Make sure to check the Hugging Face model hub for updates to the Mistral Small 4 model.
• Consider using the torch library to optimize the model for your specific use case.
• For more information on using the Hugging Face Transformers library, see the official documentation.