DeepSeek·released 2024-01-251 source
Not yet benchmarked
Claims drawn from cited facts, not live model generation.
Developed by DeepSeek and released in 2024, this model is a compact 6.91-billion-parameter model, a scale that prioritizes efficiency and lower cost.
3 cited facts
This model is not yet benchmarked, as it is scored on none of the tracked benchmarks. It holds no current top score on any tracked benchmark.
3 cited facts
The average SOTA gap is unknown, and it holds the top score on 0 benchmarks, meaning there is no evidence of category leadership yet.
2 cited facts
2 facts cross-checked across data sources: 2 single-source.
Source facts, citations, and refresh stamp for this record.
Sources: huggingface_models
deepseek-coder-7b-instruct-v1.5 is an AI model developed by DeepSeek, released 2024-01-25. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.