Model Card on HF 🤗: https://huggingface.co/Dahoas/pythia-125M-response-full-static-sft
Pythia 125M Response Full Static Sft 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 125M Response Full Static Sft Parameters and Internals
| LLM Name | Pythia 125M Response Full Static Sft |
| Repository 🤗 | https://huggingface.co/Dahoas/pythia-125M-response-full-static-sft |
| Model Size | 125m |
| Required VRAM | 0.7 GB |
| Updated | 2025-02-22 |
| Maintainer | Dahoas |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.26.0.dev0 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50304 |
| Torch Data Type | float32 |
Best Alternatives to Pythia 125M Response Full Static Sft
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pythia 125M Storywriter | 2K / 0.6 GB | 122 | 0 |
| Korean GPT Neox 125M | 2K / 0.4 GB | 280 | 0 |
| Pythia 125M Static Sft | 2K / 0.7 GB | 7 | 1 |
| Openchatgpt Neox 125M | 2K / 0.7 GB | 154 | 4 |
| Taco | 2K / 0.7 GB | 9 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Dahoas/pythia-125M-response-full-static-sft .
Rank the Pythia 125M Response Full Static Sft Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227