LFM2.5-350M-Thinking-0005

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🧠 LFM2.5-350M-Thinking-0005

LFM2.5-350M-Thinking-0005 is the flagship lightweight 350-million-parameter Reasoning Model based on LiquidAI's Liquid Neural Network (LNN) architecture.

Fine-tuned on the Golden 10,709 Multi-Teacher Reasoning Mixture combining high-order multi-teacher logic (Qwen3.8-Max, GLM-5.2, Kimi-k3), DeepSeek-R1 Math, Russian R1 CoT, Bespoke Stratos, and Self-Awareness / Anti-Hallucination honesty calibration.

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⚡ Highlights & Key Capabilities

• 🧬 Liquid Neural Network (LNN): Sub-linear memory scaling with extreme edge efficiency.
• 📐 Deep Chain-of-Thought: Structured <think> ... </think> blocks before providing concise and correct final solutions.
• 🇷🇺 Bilingual Russian & English Mastery: Fluent native Russian multi-step reasoning without translation noise.
• 🎯 Self-Awareness & Anti-Hallucination: Calibrated to detect unanswerable / hypothetical questions and answer honestly instead of hallucinating.
• 🚀 Extreme Edge Speed: Delivers 28–42+ tokens/sec on CPU and mobile devices.

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📊 Dataset Mixture (Revision 0005)

• 🔗 Golden Dataset Repository: KoarAI/LFM2.5-350M-Thinking-0005-Dataset
• Total Training Samples: 10,709 Golden Samples
• Teachers: Qwen 3.8 Max, DeepSeek-R1, GLM-5.2, Kimi-k3, Bespoke Stratos.

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📦 GGUF & Quantized Models

• 🔗 GGUF Repository: KoarAI/LFM2.5-350M-Thinking-0005-GGUF
  • LFM2.5-350M-Thinking-0005-f16.gguf (FP16 Baseline)
  • LFM2.5-350M-Thinking-0005-q8_0.gguf (Q8_0 Quantized)