Post-training Qwen3.5-2B on your own X posts with Unsloth Studio
Melvin Vivas · X post · 2026-09-15 · Open on X
Topics: Fine-tuning & Model Customization, LLMOps, Deployment & Monitoring · Level: intermediate
Summary
The creator post-trained the small Qwen3.5-2B model with Unsloth Studio, using his own popular X posts as the training and validation data. The resulting model turns topics and briefs into posts in his style. He released it as a GGUF on Hugging Face so it can run locally in LM Studio.
Key points
- Base model: Qwen3.5-2B, a small model that is cheap to post-train for style copying.
- Tool: Unsloth Studio was used for the post-training.
- Dataset: the creator's own popular X posts, split into training and validation sets.
- Task: turn a topic or brief into a post in the creator's writing style.
- Output is a GGUF export, so it runs locally in LM Studio.
Resources mentioned
- melvindave/qwen3.5-2b-melvin-posts-v1-GGUF · tool · huggingface.co · free
Hugging Face model repo with the GGUF version of the Qwen3.5-2B model post-trained to write X posts in Melvin's style.
Also in: Fine-Tuned Qwen3.5-2B LoRA Model That Writes X Posts in Your Style (Melvin Vivas on X · notes) - Unsloth · tool · unsloth.ai · free
Open-source library for fast, memory-efficient fine-tuning of open LLMs (LoRA/QLoRA) on a single GPU or in Colab.
Also in: Run Laya Decision models locally with Unsloth on 4GB RAM (Melvin Vivas on X · notes), Unsloth passes 500M model downloads on Hugging Face (Melvin Vivas on X · notes), Run Qwen-Image-2.1 locally on 12GB VRAM with Unsloth GGUFs (Melvin Vivas on X · notes), Base vs fine-tuned Gemma 4 E2B as a model router (Melvin Vivas on X · notes) and 29 more - Qwen3.5-2B · tool · huggingface.co · free
Small open-weight Qwen language model, used here as the base for fine-tuning.
Also in: LoRA Fine-Tune Qwen3.5-2B on Your Tweets with Unsloth Studio (Melvin Vivas on X · notes), Fine-Tuned Qwen3.5-2B LoRA Model That Writes X Posts in Your Style (Melvin Vivas on X · notes), First LoRA Run on Qwen3.5-2B with Codex as Training Companion (Melvin Vivas on X · notes) - LM Studio · tool · x.com · free
Desktop app for downloading and running LLMs locally, with a developer mode that serves models through an API.
Also in: Running LLMs Locally Without an Expensive Rig (Melvin Vivas on X · notes), Adding Vercel AI Gateway as a provider in AIBackends with Devin (Melvin Vivas on X · notes), LoRA Fine-Tune Qwen3.5-2B on Your Tweets with Unsloth Studio (Melvin Vivas on X · notes), AIBackends: An API Layer Between Your App and AI Models (Now with Jev) (Melvin Vivas on X · notes) and 31 more
Try this
- Download the GGUF model from Hugging Face and run it in LM Studio.
- Post-train a small model on your own social posts so it writes in your style.
- Build a tool that turns a topic or brief into a post written in your voice.
More in Fine-tuning & Model Customization
- Fine-tuning ModernBERT-base as a task router (quote post)
- Fine-tuning ModernBERT-base to route tasks between two models
- Train models locally with the Unsloth Docker image
- Use Codex to Prepare Fine-Tuning Datasets
- Melvin Vivas's Hugging Face Profile
- GPT-6 Astra Medium in Codex as a Low-Cost Fine-Tuning Assistant