---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- bunnycore/Qwen3-4B-dot-exp
- fakezeta/amoral-Qwen3-4B+bunnycore/Qwen-3-4B-Persona-lora_model
base_model:
- bunnycore/Qwen3-4B-dot-exp
- fakezeta/amoral-Qwen3-4B
- mlabonne/Qwen3-4B-abliterated
- bunnycore/Qwen-3-4B-Persona-lora_model
---

# Qwen3-4B-Dot-Goat

Qwen3-4B-Dot-Goat is a 4-billion-parameter language model derived from the Qwen3 series. It merges capabilities from a diverse set of specialized models—reasoning prowess from Polars, uncensored depth from Amoral Qwen, personalized behavior via Persona LoRA, and tool-calling agility of Jan-Nano—into a single lightweight model.

## Intended Use
- Chatbots, multi-turn dialogue systems
- Instruction following, code generation, logical reasoning
- Summarization, translation, creative writing
- Agentic workflows with external tool integration

Qwen3-4B-Dot-Goat is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [bunnycore/Qwen3-4B-dot-exp](https://huggingface.co/bunnycore/Qwen3-4B-dot-exp)
* [fakezeta/amoral-Qwen3-4B+bunnycore/Qwen-3-4B-Persona-lora_model](https://huggingface.co/fakezeta/amoral-Qwen3-4B+bunnycore/Qwen-3-4B-Persona-lora_model)

## 🧩 Configuration

```yaml
models:
  - model: bunnycore/Qwen3-4B-dot-exp
    parameters:
      density: 0.5
      weight: 0.5
  - model: fakezeta/amoral-Qwen3-4B+bunnycore/Qwen-3-4B-Persona-lora_model
    parameters:
      density: 0.4
      weight: 0.4

merge_method: ties
base_model: mlabonne/Qwen3-4B-abliterated+bunnycore/Qwen-3-4B-Persona-lora_model
parameters:
  normalize: false
  int8_mask: true
dtype: float16

```