Microsoft
Orca 1 learns from rich signals, such as explanation traces, allowing it to outperform conventional instruction-tuned models on benchmarks like BigBench Hard and AGIEval. In Orca 2, we continue exploring how improved training signals can enhance smaller LMs' reasoning abilities.
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21.2
Quality Score
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Arena ELO
13B
Parameters
4K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
17 of 22 public signals
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2.0K
Downloads
669
Likes
Nov 2023
Released
5/5 signals
2/4 signals
3/5 signals
3/4 signals
4/4 signals
Parameters
13B
Training compute
4.6e22 FLOP
Dataset scale
Not reported
Base model
LLaMA-13B
Source-reported access: Open weights (non-commercial) · Confident confidence
Gaps we are still tracking
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Free access notes: Local Ollama runtime
No pricing data available yet.