DS-FIM-Eval
Progress Over Time
Interactive timeline showing model performance evolution on DS-FIM-Eval
DS-FIM-Eval Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  DeepSeek | 236B | — | — |
What is DS-FIM-Eval?
DeepSeek's internal Fill-in-the-Middle evaluation dataset for measuring code completion performance improvements in data science contexts
DS-FIM-Eval is a text benchmark evaluating models on general tasks. LLM Stats tracks 1 models on this benchmark, scored on a 0–1 scale. The current average is 0.8, with the leader at 0.8.
Compare leaders on the best AI for general leaderboards.
Current leaders
DeepSeek-V2.5 from DeepSeek currently leads the DS-FIM-Eval leaderboard with a score of 0.783 across 1 evaluated AI models.
Source paper
- Title
- DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
- Authors
- DeepSeek-AI, Qihao Zhu, Daya Guo, Zhihong Shao, and 36 others
- Published
- arXiv
- 2406.11931
Abstract
We present DeepSeek-Coder-V2, an open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks. Specifically, DeepSeek-Coder-V2 is further pre-trained from an intermediate checkpoint of DeepSeek-V2 with additional 6 trillion tokens. Through this continued pre-training, DeepSeek-Coder-V2 substantially enhances the coding and mathematical reasoning capabilities of DeepSeek-V2, while maintaining comparable performance in general language tasks. Compared to DeepSeek-Coder-33B, DeepSeek-Coder-V2 demonstrates significant advancements in various aspects of code-related tasks, as well as reasoning and general capabilities. Additionally, DeepSeek-Coder-V2 expands its support for programming languages from 86 to 338, while extending the context length from 16K to 128K. In standard benchmark evaluations, DeepSeek-Coder-V2 achieves superior performance compared to closed-source models such as GPT4-Turbo, Claude 3 Opus, and Gemini 1.5 Pro in coding and math benchmarks.
FAQ
Common questions about the DS-FIM-Eval benchmark and leaderboard.