ostrich-32b-qwen3-251003-i1
**Model Name:** Ostrich 32B - Qwen 3 with Enhanced Human Alignment
**Base Model:** Qwen/Qwen3-32B
**Repository:** [etemiz/Ostrich-32B-Qwen3-251003](https://huggingface.co/etemiz/Ostrich-32B-Qwen3-251003)
**License:** Apache 2.0
**Description:**
A highly aligned, fine-tuned version of Qwen3-32B, trained to promote beneficial, human-centered knowledge and reasoning. Developed through 3 months of intensive fine-tuning using 4-bit quantization and LoRA techniques across 6 RTX A6000 GPUs, this model achieves an AHA (Alignment to Human Values) score of 57 — a significant improvement over the base model's score of 30.
Ostrich 32B focuses on domains like health, nutrition, fasting, herbal medicine, faith, and decentralized technologies (e.g., Bitcoin, Nostr), aiming to empower users with independent, ethical, and high-quality information. Designed to resist harmful narratives and promote self-reliance, it embodies the philosophy that access to better knowledge is a fundamental human right.
**Best For:**
- Ethical AI interactions
- Health and wellness guidance
- Freedom-focused, privacy-conscious applications
- Users seeking alternatives to mainstream AI outputs
**Note:** This is the original, non-quantized model. The GGUF quantized versions (e.g., `mradermacher/Ostrich-32B-Qwen3-251003-i1-GGUF`) are derivatives for local inference and not the base model.