DeepSeek R1 Distill Qwen 1.5B
DeepSeekDeepSeek開源權重MIT · 商用許可
描述
DeepSeek-R1 is the first-generation reasoning model built atop DeepSeek-V3 (671B total parameters, 37B activated per token). It incorporates large-scale reinforcement learning (RL) to enhance its chain-of-thought and reasoning capabilities, delivering strong performance in math, code, and multi-step reasoning tasks.
發布日期
2025-01-20
參數規模
1.8B
上下文長度
—
支援模態
—
能力雷達圖
10
general
7
coding
27
reasoning
7
science
21
agents
0
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
33.8%自報
Code
LiveCodeBench
16.9%自報
Math
MATH-500
83.9%自報
AIME 2024
52.7%自報
AA 評測指數
(Artificial Analysis)Math Index(Artificial Analysis)22.0
Intelligence Index(Artificial Analysis)3.3
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.3
Aime 25(MAA (Mathematical Association of America))0.2
Aime(MAA (Mathematical Association of America))0.2
Ifbench(Google Research (2023))0.1
Gpqa(NYU + Cohere + Anthropic (2023))0.1
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.1
Scicode(UIUC + Argonne National Lab (2024))0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
Lcr(Artificial Analysis)0.0
LLM Stats 分類評分
(LLM Stats (zeroeval))Math70
Reasoning50
General50
Physics30
Biology30
Chemistry30
Code20
定價
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速度
Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s
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