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!
