Qwen
8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and an MoE model of 14B with 2.7B activated; Significant performance improvement in human preference for chat models; Multilingual support of both base and chat models; Stable support of 32K context length for models of all sizes No need of...
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21.4
Quality Score
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Arena ELO
620M
Parameters
33K
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.
16 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 normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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69.8K
Downloads
103
Likes
Jan 2024
Released
5/5 signals
3/4 signals
2/5 signals
3/4 signals
3/4 signals
Parameters
620M
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
Qwen1.5-0.5B-Chat — LiveBench Scores
language: 0.0 | coding: 0.0 | Overall: 0.0
View sourceQwen1.5-0.5B-Chat — LiveBench Scores
language: 0.0 | coding: 0.0 | Overall: 0.0
View sourceQwen1.5-0.5B-Chat — LiveBench Scores
language: 0.0 | coding: 0.0 | Overall: 0.0
View sourceQwen1.5-0.5B-Chat — LiveBench Scores
language: 0.0 | coding: 0.0 | Overall: 0.0
View sourceQwen1.5-0.5B-Chat — LiveBench Scores
language: 0.0 | coding: 0.0 | Overall: 0.0
View sourceQwen1.5-0.5B-Chat — LiveBench Scores
language: 0.0 | coding: 0.0 | Overall: 0.0
View source