Checkpoint configuration
The publisher configuration records Mistral3ForConditionalGeneration with 40 transformer layers. The configured position limit is 131,072. This checkpoint field describes the model configuration; it does not establish the context an inference operator enables or can serve at your concurrency.
These fields were checked 2026-10-10 at revision 68faf511d618. Read the pinned publisher configuration ↗
Where to start
For extraction tasks, evaluate missing-field handling and invented facts as well as valid JSON. Images and text may have different token accounting on different endpoints.
- Image extraction
- Text workflows
- Compact deployments
What to check before deployment
Vision support and quantization compatibility depend on the serving implementation. Test the exact model artifact.
Confirm the exact model ID, checkpoint revision and endpoint in your test record. A base model name does not establish a provider's quantization, accepted inputs, context limit or current availability.
Measure useful results
Build a small evaluation from the workflow you already run. Define the expected answer before testing. Track correct results, formatting errors, retries, complete request time and reported input and output usage.
Count rejected answers and manual corrections. A low token rate can still produce a high cost per accepted result when the workflow needs retries or repair.
Estimate your token budget →Sources and scope
This page is an editorial evaluation guide, not a benchmark result or a claim that this model is served by Flonno.
Official publisher model card ↗License / access: apache-2.0. Read the linked license or service terms for the full conditions. Model card identity and license metadata checked 2026-10-10.