Model Card on HF 🤗: https://huggingface.co/marco-molinari/pythia-70m-instruct
Pythia 70M Instruct 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 Instruct Parameters and Internals
| LLM Name | Pythia 70M Instruct |
| Repository 🤗 | https://huggingface.co/marco-molinari/pythia-70m-instruct |
| Model Size | 70m |
| Required VRAM | 0.3 GB |
| Updated | 2025-02-22 |
| Maintainer | marco-molinari |
| Model Type | gpt_neox |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.37.2 |
| Vocabulary Size | 50304 |
| Torch Data Type | float32 |
Rank the Pythia 70M Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227