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DeepSeek R1 Distill Qwen 14B

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
14.8B
上下文長度
支援模態

能力雷達圖

28
general
35
coding
64
reasoning
31
science
55
agents
0
multimodal

排行榜排名

領域#排名分數來源
程式碼能力榜385
25.0
AA
通用能力榜417
31.0
AA
科學能力435
30.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)59.1%自報

Code

LiveCodeBench53.1%自報

Math

MATH-50093.9%自報
AIME 202480.0%自報

AA 評測指數

(Artificial Analysis)
Math Index(Artificial Analysis)
55.7
Intelligence Index(Artificial Analysis)
9.7
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.7
Aime(MAA (Mathematical Association of America))
0.7
Aime 25(MAA (Mathematical Association of America))
0.6
Gpqa(NYU + Cohere + Anthropic (2023))
0.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.2
Ifbench(Google Research (2023))
0.2
Lcr(Artificial Analysis)
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.0

LLM Stats 分類評分

(LLM Stats (zeroeval))
Math
90
Reasoning
70
General
70
Physics
60
Biology
60
Chemistry
60
Code
50

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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