init2

README.md

@@ -10,10 +10,10 @@ pipeline_tag: text-generation
 # GLM-5
 
 <div align="center">
-<img src=https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/logo.svg width="15%"/>
+<img src=https://raw.githubusercontent.com/zai-org/GLM-5/refs/heads/main/resources/logo.svg width="15%"/>
 </div>
 <p align="center">
-    👋 Join our <a href="https://discord.gg/QR7SARHRxK" target="_blank">Discord</a> community.
+    👋 Join our <a href="https://raw.githubusercontent.com/zai-org/GLM-5/refs/heads/main/resources/wechat.png" target="_blank">WeChat</a> or <a href="https://discord.gg/QR7SARHRxK" target="_blank">Discord</a> community.
     <br>
     📖 Check out the GLM-5 <a href="https://z.ai/blog/glm-4.7" target="_blank">technical blog</a>.
     <br>
@@ -28,16 +28,6 @@ We are launching GLM-5, targeting complex systems engineering and long-horizon a
 
 Reinforcement learning aims to bridge the gap between competence and excellence in pre-trained models. However, deploying it at scale for LLMs is a challenge due to the RL training inefficiency. To this end, we developed [slime](https://github.com/THUDM/slime), a novel **asynchronous RL infrastructure** that substantially improves training throughput and efficiency, enabling more fine-grained post-training iterations. With advances in both pre-training and post-training, GLM-5 delivers significant improvement compared to GLM-4.7 across a wide range of academic benchmarks and achieves best-in-class performance among all open-source models in the world on reasoning, coding, and agentic tasks,  closing the gap with frontier models.
 
-![bench](https://raw.githubusercontent.com/zai-org/GLM-5/refs/heads/main/resources/bench.png)
-
-GLM-5 is purpose-built for complex systems engineering and long-horizon agentic tasks. On our internal evaluation suite CC-Bench-V2, GLM-5 significantly outperforms GLM-4.7 across frontend, backend, and long-horizon tasks, narrowing the gap to Claude Opus 4.5.
-
-![realworld_bench](https://raw.githubusercontent.com/zai-org/GLM-5/refs/heads/main/resources/realworld_bench.png)
-
-On [Vending Bench 2](https://andonlabs.com/evals/vending-bench-2), a benchmark that measures long-term operational capability, GLM-5 ranks \#1 among open-source models. Vending Bench 2 requires the model to run a simulated vending machine business over a one-year horizon; GLM-5 finishes with a final account balance of $4,432, approaching Claude Opus 4.5 and demonstrating strong long-term planning and resource management.
-
-![vending_bench](https://raw.githubusercontent.com/zai-org/GLM-5/refs/heads/main/resources/vending_bench.png)
-
 ## Benchmark
 
 |                                  | GLM-5                  | GLM-4.7   | DeepSeek-V3.2 | Kimi K2.5 | Claude Opus 4.5 | Gemini 3 Pro | GPT-5.2 (xhigh) |