Quantized weights12.57 GB+ 0.5 GB format overhead
strongcodingagentic-codingtool-uselong-context
Devstral Small 2505
Provider reports 46.8% SWE-bench Verified with OpenHands; retained as a provider claim, not a universal quality score.
Model profile
Parameters24B24B active
Maximum context131,072
LicenseApache-2.0
Released2025-05-21
32K / one-agent memory trace
Using GGUF Q4_K_M. This is fit math, not a fixed “billions to GB” lookup.
KV cache5 GBarchitecture-aware
Total with workspace + safety21.38 GB48 GB recommended RAM
KV cache uses layers × KV heads × head dimension × K/V × cache precision × context × concurrency.
Architecture metadata
| Layers | 40 |
|---|---|
| Attention / KV heads | 32 / 8 |
| Head dimension | 128 |
Evidence records
repository-agentic-coding
Model-provider result under the OpenHands scaffold. Do not compare directly to another scaffold or merge into a composite score.
46.8 percent SWE-bench Verified resolved