Pythia 12B Sft V8 7K Steps Benchmarks
ARC: 44.03 vs 96.7 (so35)-54.5%
HellaSwag: 70.28 vs 95.3 (gpt4)-26.3%
MMLU: 26.55 vs 88.3 (so35)-69.9%
TruthfulQA: 36.53 vs 59 (gpt4)-38.1%
WinoGrande: 65.27 vs 87.5 (gpt4)-25.4%
GSM8K: 10.61 vs 96.4 (so35)-89%
LLME Score: 0.17172
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 12B Sft V8 7K Steps Parameters and Internals
| LLM Name | Pythia 12B Sft V8 7K Steps |
| Repository 🤗 | https://huggingface.co/OpenAssistant/pythia-12b-sft-v8-7k-steps |
| Model Size | 12b |
| Required VRAM | 23.8 GB |
| Updated | 2024-09-07 |
| Maintainer | OpenAssistant |
| Model Type | gpt_neox |
| Model Files | |
| Supported Languages | en |
| Model Architecture | GPTNeoXForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.28.0.dev0 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50288 |
| Torch Data Type | float16 |
Best Alternatives to Pythia 12B Sft V8 7K Steps
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Dolly V2 12B | 2K / 23.8 GB | 3076 | 1947 |
| ...sst Sft 4 Pythia 12B Epoch 3.5 | 2K / 23.8 GB | 25864 | 358 |
| Pythia 12B | 2K / 23.8 GB | 7267 | 130 |
| Oasst Sft 1 Pythia 12B | 2K / 23.8 GB | 2672 | 279 |
| H2ogpt Oasst1 512 12B | 2K / 23.9 GB | 3582 | 27 |
| Pythia 12B Deduped | 2K / 23.8 GB | 6748 | 52 |
| ...ythia 12B Sft V8 Rlhf 2K Steps | 2K / 23.8 GB | 702 | 0 |
| Pythia 12B Pre V8.12.5K Steps | 2K / 23.8 GB | 682 | 6 |
| H2ogpt Gm Oasst1 En 1024 12B | 2K / 23.8 GB | 696 | 5 |
| Pythia 12B Sft V8.2.5K Steps | 2K / 23.8 GB | 680 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than OpenAssistant/pythia-12b-sft-v8-7k-steps .
Rank the Pythia 12B Sft V8 7K Steps Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803