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Petal-50M
CyanMonkey/Petal-50M
Petal-50M 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 (49.7M parameters) trained from scratch.
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887
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49.7M
799 MB on disk
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.pt600 MB · 75%
At a glance
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Jul 23, 2026
- Updated
- Jul 25, 2026
- SHA
- 72f45b56
Model card
From the Hugging Face model README
Petal-50M
Small language model (49.7M parameters) trained from scratch.
Architecture
| Property | Value |
|---|---|
| Layers | 14 |
| Hidden size | 512 |
| Intermediate size | 1408 |
| Attention heads | 8 (GQA kv=4) |
| Max sequence length | 1024 |
| Vocab size | 16384 |
| Tied embeddings | True |
| Total parameters | 49.691M |
Training
- Tokens seen: 12,206,075,904
- Val loss: 1.8920
- Val PPL: 6.63
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("CyanMonkey/Petal-50M")
model = AutoModelForCausalLM.from_pretrained("CyanMonkey/Petal-50M")
inputs = tokenizer("Hello", return_tensors="pt")
output = model.generate(**inputs, max_new_tokens=50)
print(tokenizer.decode(output[0], skip_special_tokens=True))
- Type
- llama
- License
- apache-2.0
- Languages
- en
- Created
- Jul 23, 2026
- Updated
- Jul 25, 2026