Checkpoint configuration
The publisher configuration records Qwen3MoeForCausalLM with 94 transformer layers. The configured position limit is 40,960. 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 8efa61729e24. Read the pinned publisher configuration ↗
Where to start
For API use, focus on quality, queueing and cost per accepted answer. For self-hosting, estimate total weight memory and KV-cache use rather than relying on the active parameter count.
- Multi-step reasoning
- Open-weight applications
- Coding evaluation
What to check before deployment
Active parameters do not equal the total memory needed to load all weights. Compare serving configurations explicitly.
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.