Update README.md

README.md

@@ -7,29 +7,6 @@ pipeline_tag: text-generation
 library_name: transformers
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-# GLM-4.5-Air-Base-Qwen-Chat-Template
+# INTELLECT-3-Base
 
-> This is a fork of the [GLM-4.5-Air-Base](https://huggingface.co/zai-org/GLM-4.5-Air-Base) model with a custom chat template adapted from [Qwen3-Coder](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct).
-  
-## Model Introduction
-
-The **GLM-4.5** series models are foundation models designed for intelligent agents. GLM-4.5 has **355** billion total parameters with **32** billion active parameters, while GLM-4.5-Air adopts a more compact design with **106** billion total parameters and **12** billion active parameters. GLM-4.5 models unify reasoning, coding, and intelligent agent capabilities to meet the complex demands of intelligent agent applications.
-
-Both GLM-4.5 and GLM-4.5-Air are hybrid reasoning models that provide two modes: thinking mode for complex reasoning and tool usage, and non-thinking mode for immediate responses.
-
-We have open-sourced the base models, hybrid reasoning models, and FP8 versions of the hybrid reasoning models for both GLM-4.5 and GLM-4.5-Air. They are released under the MIT open-source license and can be used commercially and for secondary development.
-
-As demonstrated in our comprehensive evaluation across 12 industry-standard benchmarks, GLM-4.5 achieves exceptional performance with a score of **63.2**, in the **3rd** place among all the proprietary and open-source  models. Notably, GLM-4.5-Air delivers competitive results at **59.8** while maintaining superior efficiency.
-
-![bench](https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/bench.png)
-
-For more eval results, show cases, and technical details, please visit
-our [technical blog](https://z.ai/blog/glm-4.5). The technical report will be released soon.
-
-The model code, tool parser and reasoning parser can be found in the implementation of [transformers](https://github.com/huggingface/transformers/tree/main/src/transformers/models/glm4_moe), [vLLM](https://github.com/vllm-project/vllm/blob/main/vllm/model_executor/models/glm4_moe_mtp.py) and [SGLang](https://github.com/sgl-project/sglang/blob/main/python/sglang/srt/models/glm4_moe.py).
-
-## Quick Start
-
-**Note**: This is a base model, not for chat.
-
-Please refer to our [github page](https://github.com/zai-org/GLM-4.5) for more details.
+This is a clone of [GLM-4.5-Air-Base](https://huggingface.co/zai-org/GLM-4.5-Air-Base) model with a custom chat template adapted from [Qwen3-Coder](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct). For more detail, see this [Notion](https://www.notion.so/primeintellect/INTELLECT-3-Chat-Template-25f72940136f80fb970afaa1357ba9e7?source=copy_link) page.