This is an experimental model, so it might not perform well for some prompts and may be sensitive to hyper parameters. I would appreciate any feedback to see if I can fix any issues in the next iteration. ❤️
MaziyarPanahi/calme-3.2-instruct-78b
This model is an advanced iteration of the powerful
Qwen/Qwen2.5-72B
, specifically fine-tuned to enhance its capabilities in generic domains. The
Qwen2.5-72B
base model was merged with itself to create a larger model. After that, the model was fine-tuned on a custom datasets.
# Use a pipeline as a high-level helperfrom transformers import pipeline
messages = [
{"role": "user", "content": "Who are you?"},
]
pipe = pipeline("text-generation", model="MaziyarPanahi/calme-3.2-instruct-78b")
pipe(messages)
# Load model directlyfrom transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-3.2-instruct-78b")
model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-3.2-instruct-78b")
Ethical Considerations
As with any large language model, users should be aware of potential biases and limitations. We recommend implementing appropriate safeguards and human oversight when deploying this model in production environments.
Runs of MaziyarPanahi calme-3.2-instruct-78b on huggingface.co
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