GLM-5.3 is live. Run Z.ai's latest model on Friendli Model APIs. Try it today ➜
AXCXEPT
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Model Details
Model Provider
AXCXEPT
Model Tree
Qwen/Qwen3-8B
Input Modalities
Output Modalities
Supported Functionality
Based on repeated evaluations of frequent outputs at temperatures 0.2 and 0.6, conducted on May 13, 2025, using GPT-4o and Gemini 2.5 Flash as judges.
All tests were performed internally on a single A40 GPU. Results may vary under external or official benchmark conditions.
--
Runs on a single A40 GPU.
bash
vllm serve AXCXEPT/Qwen3-EZO-8b-beta --enable-reasoning --reasoning-parser deepseek_r1python
from openai import OpenAIclient = OpenAI( base_url="http://localhost:8000/v1", api_key="token-abc123",) prompt = """Every morning Aya goes for a $9$-kilometer-long walk and stops at a coffee shop afterwards. When she walks at a constant speed of $s$ kilometers per hour, the walk takes her 4 hours, including $t$ minutes spent in the coffee shop. When she walks $s+2$ kilometers per hour, the walk takes her 2 hours and 24 minutes, including $t$ minutes spent in the coffee shop. Suppose Aya walks at $s+ rac{1}{2}$ kilometers per hour. Find the number of minutes the walk takes her, including the $t$ minutes spent in the coffee shop."""completion = client.chat.completions.create( model="AXCXEPT/Qwen3-EZO-8b-beta", messages=[ {"role": "user", "content": prompt} ]) print(completion.choices[0].message)本モデルのベースモデルの開発を行った、Alibaba Cloud社ならびにQwen開発チームに、尊敬と敬意の念をここに表します。 We would like to express our sincere respect and appreciation to Alibaba Cloud and the Qwen development team for their work in creating the base model for this project.