🧠 MiniAI-Qwen3-4B

Blazing Fast. Local-First. Supercharged 4B Parameters.

MiniAI-Qwen3-4B is a highly optimized, lightweight instruct model tailored for fast, local text generation. Built by the MiniAI team, this model strikes the ultimate sweet spot between high-speed performance and sharp instruction-following.

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🚀 Why MiniAI-Qwen3-4B?

• ⚡ The Sweet Spot: Small enough to fly at lightning speeds on consumer hardware, but smart enough to handle advanced tasks.
• 🛠️ Local-First Architecture: Tailored perfectly for local deployments using LM Studio, Ollama, or custom Python pipelines.
• 🪶 Low Overhead: Merged cleanly into full precision, making it perfectly ready for custom GGUF or AWQ quantizations.

🛠️ Usage & Deployment

You can load this model directly using standard Hugging Face transformers or via Unsloth:

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "MiniAI/MiniAI-Qwen3-4b"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")