初始化项目，由ModelHub XC社区提供模型

Model: CyanMonkey/Petal-50M
Source: Original Platform

README.md

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+---
+language: en
+tags:
+- causal-lm
+- gqa
+- rope
+- swiglu
+license: apache-2.0
+---
+
+# 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
+```python
+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))
+```