Inference & Serving · 2025
Announcing Tinker
A managed fine-tuning API exposing low-level primitives (forward_backward, sample) so users write post-training loops in Python while Tinker handles distributed GPU execution, including for large MoE open models like Qwen-235B-A22B.
Editorial record
Plain-language summary
A managed fine-tuning API exposing low-level primitives (forward_backward, sample) so users write post-training loops in Python while Tinker handles distributed GPU execution, including for large MoE open models like Qwen-235B-A22B.
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Descendants
Depends onEvidence: Strongly supported
LoRA / QLoRA (parameter-efficient fine-tuning)
A managed fine-tuning API built on parameter-efficient methods
TML
Source record
Provenance
- Record ID
- P-659
- Record created
- 2026-07-13
- Last reviewed
- 2026-07-14
- Record version
- 2
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