Model Card on HF 🤗: https://huggingface.co/rmrafailov/TLDR-Pythia2.8B-SFT
TLDR Pythia2.8B 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)
TLDR Pythia2.8B SFT Parameters and Internals
| LLM Name | TLDR Pythia2.8B SFT |
| Repository 🤗 | https://huggingface.co/rmrafailov/TLDR-Pythia2.8B-SFT |
| Model Size | 2.8b |
| Required VRAM | 11.1 GB |
| Updated | 2025-09-12 |
| Maintainer | rmrafailov |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| License | mit |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.37.1 |
| Vocabulary Size | 50304 |
| Torch Data Type | float32 |
Best Alternatives to TLDR Pythia2.8B SFT
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Statichh Pythia 2.8B Sft Bf16 | 2K / 11.1 GB | 81 | 0 |
| Pythia 2.8B Thai Base V1 | 2K / 5.9 GB | 25 | 2 |
| Hh Full | 2K / 11.1 GB | 5 | 0 |
| ... Llm Pythia 2.8B Pm Gen Ian Nd | 2K / 11.1 GB | 5 | 0 |
| ...thia 2.8B Mitchell Sft Hh Rlhf | 2K / 11.1 GB | 14 | 0 |
| Pythia 2.8B Sft Hh Rlhf | 2K / 5.6 GB | 5 | 0 |
| ...ythia 2.8B Helpful Sft 3epochs | 2K / 5.6 GB | 7 | 0 |
| Pythia 2.8B Deduped | 2K / 5.7 GB | 5720 | 14 |
| Indication PYT V2 | 2K / 5.7 GB | 10 | 0 |
| Indication PYT V2 | 2K / 5.7 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than rmrafailov/TLDR-Pythia2.8B-SFT .
Rank the TLDR Pythia2.8B SFT Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124