Qwq

问题 QwQ-32B 是一个性能比肩 DeepSeek-R1 的推理模型， 但是很多人发现模型会出现无限生成、不停重复输出的情况。 等了两天后发现已经有解决方案了：Tutorial: How to Run QwQ-32B effectively | Unsloth Documentation 本文是自己的体验记录 推荐参数设置 Temperature = 0.6 TopP = 0.95 TopK = 20 ~ 40 Min_P of 0.02 Repetition Penalty of 1.0 使用对话模板 <|im_start|>user\nCreate a Flappy Bird game in Python.<|im_end|>\n<|im_start|>assistant\n<think>\n Ollama 我只有在 MacBook Pro 上才能跑起来这个模型，因此只记录了 Ollama 的使用。 llama.cpp的用法 ollama 支持将模型设置打包到 params 文件里，所以 MacBook 用户直接执行以下命令就行了 ollama run hf.co/unsloth/QwQ-32B-GGUF:Q4_K_M 或者用其他的量化版本 unsloth/QwQ-32B-GGUF at main ollama run hf.co/unsloth/QwQ-32B-GGUF:Q5_K_M 效果和总结 我尝试了 unslosh 的 Flappy Bird 游戏的例子： Create a Flappy Bird game in Python. You must include these things: - You must use pygame. - The background color should be randomly chosen and is a light shade. Start with a light blue color. - Pressing SPACE multiple times will accelerate the bird. - The bird's shape should be randomly chosen as a square, circle or triangle. The color should be randomly chosen as a dark color. - Place on the bottom some land colored as dark brown or yellow chosen randomly. - Make a score shown on the top right side. Increment if you pass pipes and don't hit them. - Make randomly spaced pipes with enough space. Color them randomly as dark green or light brown or a dark gray shade. - When you lose, show the best score. Make the text inside the screen. Pressing q or Esc will quit the game. Restarting is pressing SPACE again. - The final game should be inside a markdown section in Python. Check your code for errors and fix them before the final markdown section. 对话客户端用的是 chatbox，输出结果由于太长就不放出来了。可以直接看 unslosh 的分享 ...