README.md

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]))