---
language:
- en
tags:
- text-generation
- causal-lm
- fine-tuned
- gguf
- code
- python
- glsl
- javascript
- sql
- bash
- reasoning
- vision
- experimental
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M-Instruct
pipeline_tag: text-generation
library_name: transformers
model_creator: louhless
---

# Ycoder-small

`Ycoder-small` is a tiny experimental code-focused language model created by **louhless** and fine-tuned for short programming prompts, lightweight problem solving, simple chat, and optional thinking-style output.

Join Discord: https://discord.gg/Dq4MWuJm

## Model Details

- **Model name:** `Ycoder-small`
- **Creator:** `louhless`
- **Base model:** `HuggingFaceTB/SmolLM2-135M-Instruct`
- **Architecture:** Llama-style causal language model
- **Context length:** 8192
- **Language:** English, with small German greeting support
- **Export:** GGUF available
- **Status:** experimental

## Focus

The model is mainly tuned for:

- Python
- GLSL
- JavaScript
- SQL
- Bash
- simple math
- short normal assistant replies

## LM Studio Thinking Toggle

The GGUF metadata includes a chat template with an `enable_thinking` variable.

When `enable_thinking` is enabled, the model is prompted to use:

```text
<think>
short reasoning summary
</think>
<answer>
final answer
</answer>