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CyanMonkey/EXP-3A
EXP-3A is a machine learning model from CyanMonkey. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Small language model (9.9M parameters) trained from scratch.
Downloads · 30 days
4
1% of all-time downloads
All-time downloads
639
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Parameters
9.9M
2.4 GB on disk
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Public
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.pt120 MB · 75%
From the Hugging Face model README
Small language model (9.9M parameters) trained from scratch.
| Property | Value |
|---|---|
| Layers | 11 |
| Hidden size | 256 |
| Intermediate size | 704 |
| Attention heads | 8 (GQA kv=2) |
| Max sequence length | 1024 |
| Vocab size | 8192 |
| Tied embeddings | True |
| Total parameters | 9.853M |
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("CyanMonkey/Exp-3")
model = AutoModelForCausalLM.from_pretrained("CyanMonkey/Exp-3")
inputs = tokenizer("Hello", return_tensors="pt")
output = model.generate(**inputs, max_new_tokens=50)
print(tokenizer.decode(output[0], skip_special_tokens=True))