reaperdoesntknow/DistilQwen3-1.7B-uncensored
reaperdoesntknow/DistilQwen3-1.7B-uncensored is a 1.7 billion parameter uncensored language model from the DistilQwen3 series by Convergent Intelligence LLC: Research Division. This model is part of a proof-weighted distillation chain built on Discrepancy Calculus, designed to amplify reasoning-critical tokens. It excels in instruction following, structured output, and legal reasoning, making it suitable for tasks requiring robust logical inference.
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Model Overview
reaperdoesntknow/DistilQwen3-1.7B-uncensored is a 1.7 billion parameter model developed by Convergent Intelligence LLC: Research Division, forming part of their DistilQwen3 series. This model is a product of a proof-weighted knowledge distillation process, utilizing a 30B-parameter teacher model and trained on H100 hardware at BF16 precision. The distillation methodology incorporates 55% cross-entropy with decaying proof weights and 45% KL divergence, specifically designed to enhance the student model's structural understanding over surface-level pattern matching by amplifying loss on reasoning-critical tokens.
Key Capabilities
- Instruction Following: Demonstrates strong ability to adhere to given instructions.
- Structured Output: Capable of generating responses in a structured format.
- Legal Reasoning: Optimized for tasks requiring legal reasoning and logical inference.
- Discrepancy Calculus Foundation: Built upon a measure-theoretic framework that quantifies local structural mismatch, aiming for deeper understanding.
Good For
- Applications requiring precise instruction adherence.
- Generating structured data or text.
- Tasks involving legal analysis or complex logical deductions.
- Use cases where robust reasoning is prioritized over simple pattern recognition.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.