DeepSeek
We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrates remarkable reasoning capabilities.
Running this yourself: likely needs a high-memory cloud gpu.
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45.9
Quality Score
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Arena ELO
71B
Parameters
16K
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.
18 of 22 public signals
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78.4K
Downloads
803
Likes
Jan 2025
Released
5/5 signals
3/4 signals
3/5 signals
3/4 signals
4/4 signals
Parameters
70B
Training compute
Not reported
Dataset scale
24.0B units
Base model
Llama 3.3 70B
Source-reported access: Open weights (unrestricted) · Speculative confidence
Gaps we are still tracking