YAML Metadata
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SAM1-600M
Chat Template
User: {{input}}
Sam: {{output}}
Model Stats
- Parameters: 348,357,632 (~348.4M)
- Architecture: 24L × 1024d × 16H
- Final Perplexity: 4.81
- Final Accuracy: 80.34%
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("YOUR_USERNAME/sam1-600m")
model = AutoModelForCausalLM.from_pretrained("YOUR_USERNAME/sam1-600m")
prompt = "User: Hello!\nSam:"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=100)
print(tokenizer.decode(outputs[0]))
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