---
license: cc-by-sa-4.0
---

# Pwen 3.5

**Pwen 3.5** is a finetuned version of Qwen3.5-2B specialized for study notes, explanations, and concise technical summaries. Finetuned by Pavel Hanzel using Unsloth on Apple Silicon.

## Model Details

| Attribute | Value |
| --- | --- |
| **Base Model** | `Qwen/Qwen3.5-2B` by Alibaba Cloud |
| **Model Type** | Causal Language Model |
| **Finetune Method** | QLoRA via Unsloth |
| **Language** | English |
| **License** | CC BY-SA 4.0 + Qwen License |
| **Author** | Pavel Hanzel |
| **Release Date** | July 2026 |

### Files & Sizes

| File | Format | Size | Use Case |
| --- | --- | --- | --- |
| `Qwen3.5-2B.Q4_K_M.gguf` | GGUF Q4_K_M | ~1.3 GB | **Recommended** for Ollama, LM Studio, llama.cpp |

## Intended Use

**Good for:**
- Generating structured study notes with headers + bullets
- Explaining code, math, and technical concepts concisely  
- Summarizing documents into revision format
- Q&A in educational contexts

**Not good for:**
- Roleplay or creative fiction
- Uncensored/unfiltered outputs - inherits Qwen safety
- Non-English languages - trained on English only
- Factual accuracy on events after 2025

## Training Data

Finetuned on 202 curated prompt-response pairs covering:
3. **Domains**: JavaScript, Python, algorithms, physics, general text

LoRA config: `r=16`, `alpha=16`, `dropout=0.01`, target modules: `q_proj`, `k_proj`, `v_proj`, `o_proj`. Trained 300 Steps.

### Recommend not using thinking mode. It can break and stuck itself inside thinking loop!