BokantLM0.1–135M-Deepseek

BokantLM – "Small but Supreme in Its Domain"

BokantLM is not a general-purpose model that tries to do everything well.
Instead, it is an ultra-lightweight LLM designed to focus on a single domain, delivering the highest possible efficiency and performance in that area.

Overview

Model Name: BokantLM0.1–135M-Deepseek
Base Model: SmolLM2-135M
Fine-tuning Dataset: paloalma/Reasoning-DeepSeek-R1-Distilled-1.4M-Alpaca-V2

Philosophy

While most LLMs aim for versatility by learning across many fields,
BokantLM is built to achieve top efficiency and performance within a specific domain.

Optimized for DeepSeek R1’s reasoning methodology, This model is fine-tuned to replicate DeepSeek R1’s distinctive reasoning style—delivering the same logical depth and problem-solving approach in a compact, ultra-lightweight architecture.

The reason I created this model

I created this model based on the idea of what would happen if a very small model tried to imitate Deepseek R1.

Future Plans

✅ Imitating Deepseek-R1 model release (current version)
🔄 Mathematics problem-solving specialized version
🔄 Domain-specific ultra-lightweight models for law, medicine, science, etc.
🔄 multilingual support with very small models(1K, 10k, 100K, etc parameters)
🔄 fine-tuning of models with very large maximum tokens but small parameter sizes