DeepSeek·released 2024-06-141 source
Not yet benchmarked
Claims drawn from cited facts, not live model generation.
Developed by DeepSeek and released in 2024, this model is a mid-size system with 15.71 billion parameters, balancing capability with efficiency. At that scale, it implies lower serving cost and easier deployment than frontier-scale models while retaining more headroom than compact models.
4 cited facts
This model is not yet benchmarked, as it is scored on zero tracked benchmarks. Consequently, it holds no current top score.
2 cited facts
Its average gap to the state of the art is not disclosed, so no points-behind figure can be stated here. On the leader count it holds the top score on zero benchmarks, which means there is no category leadership to report yet rather than a frontier position.
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-V2-Lite-Instruct is an AI model developed by DeepSeek, released 2024-06-14. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.