OrcaSAQ-2-27B Trends on Hugging Face: 3-Bit Mixed-Precision Qwen3-Based Reasoning Model
orcarouter · hf · 2026-09-25
OrcaSAQ-2-27B is trending on Hugging Face: a 27B text-generation model built on the Qwen3 architecture, featuring 3-bit mixed-precision quantization in safetensors format with vLLM compatibility while retaining reasoning capability. It offers an open-source option for running large reasoning models in low-VRAM environments.
More from Models
- Micius-Flash: 27B Multimodal Model for Hardware and Semiconductor Agents — zhiman-ai · 2026-11-11
- Claude IP risk-check site goes viral as users audit their IPs ahead of new rules — vista8 · 2026-11-11
- Baidu says RSI auto-optimized ERNIE inference, 6.24x decode speedup on Kunxin P800 — xiaohu · 2026-11-11
- Baidu's ECHO: multi-token prediction reusing the last layer as a drafter — xiaohu · 2026-11-11
- ERNIE 5.5 Flash Preview: 280B-param multi-router MoE activating only 14B per token — xiaohu · 2026-11-11
- ERNIE 5.5 recreates the Pelican test: 117-second animation drawn frame-by-frame in Python — xiaohu · 2026-11-11