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Model: Abdourakib/tinystories-gpt2-124m
Source: Original Platform

README.md

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+
+---
+language: en
+tags:
+- gpt2
+- text-generation
+- children-stories
+- tinystories
+license: mit
+---
+
+# TinyStories GPT2 124M
+
+A GPT2 model trained from scratch on the 
+TinyStories dataset to generate children's stories.
+
+## Training Details
+- **Base Architecture:** GPT2 (124M parameters)
+- **Dataset:** karpathy/tinystories-gpt4-clean
+- **Training Steps:** 100,000
+- **Best Val Loss:** 1.1295
+- **Hardware:** NVIDIA RTX PRO 6000 (G4)
+
+## How To Use
+```python
+from transformers import GPT2LMHeadModel
+from transformers import GPT2TokenizerFast
+import torch
+
+model = GPT2LMHeadModel.from_pretrained(
+    "{HF_USERNAME}/{MODEL_NAME}"
+)
+tokenizer = GPT2TokenizerFast.from_pretrained(
+    "{HF_USERNAME}/{MODEL_NAME}"
+)
+
+prompt = "Once upon a time there was a little cat"
+inputs = tokenizer(prompt, return_tensors="pt")
+
+outputs = model.generate(
+    inputs["input_ids"],
+    max_new_tokens     = 200,
+    temperature        = 0.8,
+    top_p              = 0.9,
+    do_sample          = True,
+    repetition_penalty = 1.2,
+    pad_token_id       = tokenizer.eos_token_id
+)
+
+story = tokenizer.decode(
+    outputs[0],
+    skip_special_tokens = True
+)
+print(story)
+```
+
+## Example Output
+
+"Once upon a time there was a little cat called 
+Mimi. She loved to play with her toys, but one 
+day she got very sad because she couldn't find 
+her favorite toy. They searched everywhere and 
+finally found it under the bed! Mimi was so 
+happy and hugged her mom tight."
+
+## Limitations
+- Generates children's stories only
+- Works best with story-style prompts
+- 512 token context window