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Sam-X-1.5
Smilyai-labs/Sam-X-1.5
Sam-X-1.5 is a machine learning model from Smilyai-labs. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
- Parameters: 348,357,632 (~348.4M) - Architecture: 24L × 1024d × 16H - Final Perplexity: 4.81 - Final Accuracy: 80.34%
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348M
2.7 GB on disk
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.safetensors1.4 GB · 52%
At a glance
- Model type
- sam1
- Access
- Public
- Created
- Nov 1, 2025
- Updated
- Nov 6, 2025
- SHA
- a42db8fe
Model card
From the Hugging Face model README
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]))
- Type
- sam1
- Created
- Nov 1, 2025
- Updated
- Nov 6, 2025