Model Card on HF 🤗: https://huggingface.co/roneneldan/TinyStories-Instruct-1M
TinyStories Instruct 1M 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 Instruct 1M Parameters and Internals
| LLM Name | TinyStories Instruct 1M |
| Repository 🤗 | https://huggingface.co/roneneldan/TinyStories-Instruct-1M |
| Model Size | 1m |
| Required VRAM | 0 GB |
| Updated | 2025-02-22 |
| Maintainer | roneneldan |
| Model Type | gpt_neo |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | GPTNeoForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.28.1 |
| Tokenizer Class | GPT2Tokenizer |
| Beginning of Sentence Token | <|endoftext|> |
| End of Sentence Token | <|endoftext|> |
| Unk Token | <|endoftext|> |
| Vocabulary Size | 50257 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
| Errors | replace |
Rank the TinyStories Instruct 1M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227