Model Card on HF 🤗: https://huggingface.co/bowphs/pythia-70m-multi
Pythia 70M Multi 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)
Pythia 70M Multi Parameters and Internals
| LLM Name | Pythia 70M Multi |
| Repository 🤗 | https://huggingface.co/bowphs/pythia-70m-multi |
| Model Size | 70m |
| Required VRAM | 0.3 GB |
| Updated | 2025-04-05 |
| Maintainer | bowphs |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.47.0 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50304 |
| Torch Data Type | float32 |
Best Alternatives to Pythia 70M Multi
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pythia 70m Sft Hh | 2K / 0.1 GB | 9 | 0 |
| Pythia 70M Deduped | 2K / 0.2 GB | 845961 | 25 |
| Pythia Chinese 70M UDN | 2K / 0.2 GB | 18 | 0 |
| Pythia 70m Sft | 2K / 0.3 GB | 5 | 0 |
| ...ythia 70M Wikipedia Paragraphs | 2K / 0.3 GB | 31 | 3 |
| Pythia 70M | 2K / 0.2 GB | 156202 | 70 |
| Chessdevilai | 2K / 0.3 GB | 11 | 0 |
| Polish Wikipedia Model | 2K / 0.3 GB | 16 | 0 |
| My Awesome Eli5 Clm Model | 2K / 0.3 GB | 15 | 0 |
| Pythia 70M Instruct | 2K / 0.3 GB | 16 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than bowphs/pythia-70m-multi .
Rank the Pythia 70M Multi Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227