Qwen·released 2024-09-181 source
Not yet benchmarked
Claims drawn from cited facts, not live model generation.
Developed by Qwen and released in 2024, this model is a compact model at 1.54 billion parameters, a scale that places it at the efficiency-focused end of the spectrum. That compact size means lower cost and lighter resource demands rather than the greater capability headroom, and heavier expense, that comes with far larger models.
4 cited facts
This model is not yet shown on any tracked benchmarks, as its current benchmark count stands at zero.
1 cited fact
The average gap to the state of the art on this model's benchmarks is not disclosed, so no frontier/competitive/behind band can be assigned from a score margin. What is known is that it holds the top score on zero benchmarks, which means there is no category leadership recorded yet — not a near-miss reading, but no first-place result at all.
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
Qwen2.5-Coder-1.5B-Instruct is an AI model developed by Qwen, released 2024-09-18. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.