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In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cases.
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Quality Score
1052
Arena ELO
7B
Parameters
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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.
14 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has live arena signal, but it does not have structured benchmark rows or provider benchmark evidence yet.
A full normalized benchmark row is not available for this model yet.
Live arena evidence is already available below, so there is still a competitive signal even without a full benchmark table yet.
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122
Downloads
4.6K
Likes
Jul 2023
Released
3/5 signals
1/4 signals
3/5 signals
3/4 signals
4/4 signals
Parameters
7B
Training compute
8.4e22 FLOP
Dataset scale
2.0T units
Base model
Not reported
Source-reported access: Open weights (restricted use) · Confident confidence
Gaps we are still tracking
1052
ELO Score
1046 - 1057
95% Confidence
+/-6 points
14.5K
Battles
Sep 5, 2026
Last Updated