Model Card on HF 🤗: https://huggingface.co/TinyPixel/tinyllama-random
Tinyllama Random 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)
Tinyllama Random Parameters and Internals
| LLM Name | Tinyllama Random |
| Repository 🤗 | https://huggingface.co/TinyPixel/tinyllama-random |
| Model Size | 14m |
| Required VRAM | 0.1 GB |
| Updated | 2025-02-22 |
| Maintainer | TinyPixel |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | GPTNeoXTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 50304 |
| Torch Data Type | float32 |
Best Alternatives to Tinyllama Random
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pythia 14m Sft | 2K / 0.1 GB | 12 | 0 |
| ...t Llm Pythia 14M Pm Gen Ian Nd | 2K / 0.1 GB | 5844 | 0 |
| ...ythia 14M Finewebedu Sentences | 2K / 0.1 GB | 146 | 0 |
| Pythia 14M | 2K / 0.1 GB | 168729 | 20 |
| SmallLM | 2K / 0 GB | 166 | 1 |
| Pythia 14M | 2K / 0 GB | 112 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than TinyPixel/tinyllama-random .
Rank the Tinyllama Random Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227