metadata

tags:
  - autotrain
  - text-generation-inference
  - text-generation
library_name: transformers
base_model: Qwen/Qwen2.5-0.5B
widget:
  - messages:
      - role: user
        content: What is your favorite condiment?
license: apache-2.0
datasets:
  - greengerong/leetcode

BokantLM 0.1–0.5B

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: BokantLM 0.1–0.5B
Base Model: Qwen2.5-0.5B
Fine-tuning Dataset: greengerong/leetcode

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.

This 0.1–0.5B release is specialized in coding and algorithm problem solving,
with a particular focus on LeetCode-style challenges.

The reason I created this model

I created this model based on the idea that if I focus intensively on learning only Python , even a small model could become very good at Python programming.

Future Plans

✅ Coding(Python)-specialized model release (current version)
🔄 Mathematics problem-solving specialized version
🔄 Domain-specific ultra-lightweight models for law, medicine, science, etc.
🔄 Attempt at applying large LLM knowledge distillation