Lordx64 Unveils Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled

Lordx64 has released Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled that replicates structured problem-solving while operating entirely on local machines. The system uses expert routing to produce detailed thinking steps before delivering answers, which makes technical workflows much easier to verify.

The project adapts training data from a leading proprietary AI to create an open alternative for desktop deployment. Users now gain strong analytical capabilities without sending sensitive information to third-party servers.

Model Size: 71.9GB & VRAM GPU: 80GB required

Architecture and performance highlights

• Generates explicit thinking blocks before final answers.
• Processes prompts up to sixty-four thousand tokens.
• Activates roughly three billion parameters per token.
• Supports popular desktop inference tools via quantized files.

Analysts can deploy this framework on private workstations to maintain strict data control while solving logic puzzles or reviewing codebases. The lightweight activation design reduces hardware demands, allowing organizations to run intensive tasks without purchasing dedicated server equipment.

Training choices and practical limits

"The goal: port Claude-grade reasoning behavior into a permissively-licensed Mixture-of-Experts model that an individual can actually run,"

noted the developer on their model page. Training adjustments focused solely on attention layers to fit within single-card memory limits. This method keeps base knowledge intact while introducing a fresh deduction style.

Complex prompts will consume token budgets quickly, requiring generous output limits during setup. Accuracy also drops for legal and engineering topics compared to mathematics. Commercial operators must verify their workflows align with upstream licensing rules before deployment.

Download the complete weights via Hugging Face.