Model Card on HF 🤗: https://huggingface.co/emozilla/pythia-2.8b-deduped-rp-710m-4k
Pythia 2.8B Deduped Rp 710M 4K 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 2.8B Deduped Rp 710M 4K Parameters and Internals
| LLM Name | Pythia 2.8B Deduped Rp 710M 4K |
| Repository 🤗 | https://huggingface.co/emozilla/pythia-2.8b-deduped-rp-710m-4k |
| Model Size | 1b |
| Required VRAM | 11.7 GB |
| Updated | 2025-02-22 |
| Maintainer | emozilla |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.28.1 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50304 |
| Torch Data Type | float32 |
Best Alternatives to Pythia 2.8B Deduped Rp 710M 4K
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pythia 1.4B Deduped Rp 420M 4K | 4K / 6.1 GB | 7 | 1 |
| Pythia 1.4B Deduped Rp 280M 4K | 4K / 6.1 GB | 7 | 1 |
| ...eduped Tldr Preference Sft Trl | 2K / 2 GB | 14 | 0 |
| ...rAI Pythia 1B Deduped Sft Tldr | 2K / 4 GB | 4395 | 0 |
| Pythia 1B Kto Iter0 | 2K / 2 GB | 154 | 0 |
| Pythia 1B Deduped Tldr Sft | 2K / 2 GB | 360 | 0 |
| Pythia 1B Self Kto Iter0 | 2K / 2 GB | 151 | 0 |
| Rloo Trial2 | 2K / 2 GB | 8 | 0 |
| TinyLM 1B Test2 | 2K / 2.7 GB | 61 | 0 |
| ...hia 1B Deduped Instruct Ckpt 1 | 2K / 2.1 GB | 60 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than emozilla/pythia-2.8b-deduped-rp-710m-4k .
Rank the Pythia 2.8B Deduped Rp 710M 4K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227