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maxbittker/kimi-k2.5-opus-magnum-lora-step45-prodops
kimi-k2.5-opus-magnum-lora-step45-prodops is a machine learning model from maxbittker. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
LoRA adapter for moonshotai/Kimi-K2.5, trained via GRPO RL on Opus Magnum puzzles using the Tinker cookbook.
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Updated Apr 27, 2026
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From the Hugging Face model README
LoRA adapter for moonshotai/Kimi-K2.5, trained via GRPO RL on Opus
Magnum puzzles using the Tinker cookbook.
This adapter is in Tinker-native format — keys use Tinker's internal naming convention, not standard PEFT layout. It is NOT directly loadable by vLLM, SGLang, or PEFT.
To convert to PEFT format for serving:
from tinker_cookbook import weights
weights.build_lora_adapter(
base_model="moonshotai/Kimi-K2.5",
adapter_path="./this_dir",
output_path="./peft_dir",
)
# requires the K2.5 base model accessible via HuggingFace Hub
# (snapshot_download will fetch ~600GB if not cached)
The conversion needs ~32GB+ RAM and ~100GB+ free disk.
moonshotai/Kimi-K2.5productive_ops signal
(counts atom translations, not just any non-grab instruction)6nlb1b6bSee research-notes/2026-04-26-kimi-parallel-runs-status.md (private) for the experiment lineage.