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DrKlaus-7B
macadeliccc/DrKlaus-7B
DrKlaus-7B is a text generation model from macadeliccc. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
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7.2B
14.5 GB on disk
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Feb 15, 2024
- Updated
- Feb 16, 2024
- SHA
- 87ead215
Try a prompt
Model card
From the Hugging Face model README
DrKlaus-7B
DrKlaus-7B is a SFT model made with AutoSloth by macadeliccc
Process
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Original Model: mistralai/Mistral-7B-Instruct-v0.2
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Datatset: medalpaca/medical_meadow_wikidoc_patient_information
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Learning Rate: 3e-05
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Steps: 80
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Warmup Steps: 8
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Per Device Train Batch Size: 24
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Gradient Accumulation Steps 12
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Optimizer: adamw_8bit
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Max Sequence Length: 1024
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Max Prompt Length: 512
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Max Length: 1024
💻 Usage
!pip install -qU transformers
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
model = "macadeliccc/DrKlaus-7B"
tokenizer = AutoTokenizer.from_pretrained(model)
# Example prompt
prompt = "Your example prompt here"
# Generate a response
model = AutoModelForCausalLM.from_pretrained(model)
pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer)
outputs = pipeline(prompt, max_length=50, num_return_sequences=1)
print(outputs[0]["generated_text"])
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Created
- Feb 15, 2024
- Updated
- Feb 16, 2024