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---
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
``` |