Model Card on HF 🤗: https://huggingface.co/dvruette/oasst-pythia-6.9b-4000-steps
Oasst Pythia 6.9B 4000 Steps Benchmarks
ARC: 41.64 vs 96.7 (so35)-56.9%
HellaSwag: 64.24 vs 95.3 (gpt4)-32.6%
MMLU: 26.26 vs 88.3 (so35)-70.3%
TruthfulQA: 40.43 vs 59 (gpt4)-31.5%
WinoGrande: 61.8 vs 87.5 (gpt4)-29.4%
GSM8K: 0.53 vs 96.4 (so35)-99.5%
LLME Score: 0.12459
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)
Oasst Pythia 6.9B 4000 Steps Parameters and Internals
| LLM Name | Oasst Pythia 6.9B 4000 Steps |
| Repository 🤗 | https://huggingface.co/dvruette/oasst-pythia-6.9b-4000-steps |
| Model Size | 6.9b |
| Required VRAM | 13.8 GB |
| Updated | 2025-10-03 |
| Maintainer | dvruette |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.26.1 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50288 |
| Torch Data Type | float16 |
Best Alternatives to Oasst Pythia 6.9B 4000 Steps
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pythia 6.9B Deduped 8K | 8K / 13.8 GB | 9 | 1 |
| Ppo Tldr 6.9B | 2K / 13.8 GB | 8 | 0 |
| ...I Pythia 6.9B Deduped Sft Tldr | 2K / 27.4 GB | 165 | 0 |
| Pythia 6.9B Deduped | 2K / 13.8 GB | 6873 | 8 |
| Pythia 6.9B | 2K / 13.8 GB | 28771 | 56 |
| ...I Pythia 6.9B Deduped Sft Tldr | 2K / 13.8 GB | 29 | 0 |
| Pythia 6.9B HC3 | 2K / 27.7 GB | 5 | 2 |
| Open Instruct Pythia 6.9B Tulu | 2K / 27.6 GB | 1127 | 5 |
| ...an Large Pythia 6.9B Dev Phase | 2K / 27.6 GB | 6 | 3 |
| Pythia 6.9B Deduped Alpaca | 2K / 27.6 GB | 8 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than dvruette/oasst-pythia-6.9b-4000-steps .
Rank the Oasst Pythia 6.9B 4000 Steps Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124