Model Card on HF 🤗: https://huggingface.co/Mlxa/TinyStories-33M-finetuned
TinyStories 33M Finetuned Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
TinyStories 33M Finetuned Parameters and Internals
| LLM Name | TinyStories 33M Finetuned |
| Repository 🤗 | https://huggingface.co/Mlxa/TinyStories-33M-finetuned |
| Model Size | 33m |
| Required VRAM | 0.3 GB |
| Updated | 2025-06-09 |
| Maintainer | Mlxa |
| Model Type | gpt_neo |
| Model Files | |
| Model Architecture | GPTNeoForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.25.1 |
| Vocabulary Size | 50257 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
Best Alternatives to TinyStories 33M Finetuned
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| TinyStories 33M | 2K / 0.3 GB | 119334 | 99 |
| TinyStories Instruct 33M | 2K / 0.3 GB | 5268 | 9 |
| ...eo 33M Simplewiki 2048 Scratch | 2K / 0.3 GB | 17 | 1 |
| TinyStories 33M Ds | 2K / GB | 20 | 0 |
| ...Tinystories 33M Epoch10 Merged | 2K / 0.3 GB | 23 | 2 |
| TinyStories 2Layers 33M | 2K / 0.3 GB | 329 | 5 |
| ...nyStories Instruct 2Layers 33M | 2K / 0.3 GB | 292 | 7 |
Note: green Score (e.g. "73.2") means that the model is better than Mlxa/TinyStories-33M-finetuned .
Rank the TinyStories 33M Finetuned Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124