Update README.md

README.md

@@ -4,15 +4,19 @@ language:
 - en
 pipeline_tag: text-generation
 ---
-
 ## SmallThinker-4BA0.6B-Instruct-GGUF
 
-- GGUF models with `.gguf` suffix can used with [*llama.cpp* framwork](https://github.com/wdl339/llama.cpp/tree/smallthinker).
+- GGUF models with `.gguf` suffix can used with [*llama.cpp*](https://github.com/ggml-org/llama.cpp) framwork.
+
+- GGUF models with `.powerinfer.gguf` suffix are integrated with fused sparse FFN operators and sparse LM head operators. These models are only compatible to [*powerinfer*](https://github.com/SJTU-IPADS/PowerInfer/tree/main/smallthinker) framwork.
 
-- GGUF models with `.powerinfer.gguf` suffix are integrated with fused sparse FFN operators and sparse LM head operators. These models are only compatible to [*powerinfer* framwork](https://github.com/SJTU-IPADS/PowerInfer/tree/main/smallthinker).
 
 ## Introduction
 
+<p align="center">
+       &nbsp&nbsp🤗 <a href="https://huggingface.co/PowerInfer">Hugging Face</a>&nbsp&nbsp | &nbsp&nbsp🤖 <a href="https://modelscope.cn/organization/PowerInfer">ModelScope</a>&nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://github.com/SJTU-IPADS/SmallThinker/blob/main/smallthinker-technical-report.pdf">Technical Report</a> &nbsp&nbsp 
+</p>
+
 SmallThinker is a family of **on-device native** Mixture-of-Experts (MoE) language models specially designed for local deployment,
 co-developed by the **IPADS and School of AI at Shanghai Jiao Tong University** and **Zenergize AI**.
 Designed from the ground up for resource-constrained environments,
@@ -20,6 +24,9 @@ SmallThinker brings powerful, private, and low-latency AI directly to your perso
 without relying on the cloud.
 
 ## Performance
+
+Note: The model is trained mainly on English.
+
 | Model | MMLU | GPQA-diamond | GSM8K | MATH-500 | IFEVAL | LIVEBENCH | HUMANEVAL | Average |
 | :--- | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
 | **SmallThinker-4BA0.6B-Instruct** | **66.11** | **31.31** | 80.02 | <u>60.60</u> | 69.69 | **42.20** | **82.32** | **61.75** |
@@ -72,7 +79,7 @@ You can deploy SmallThinker with offloading support using [PowerInfer](https://g
 
 ### Transformers
 
-The latest version of `transformers` is recommended or `transformers>=4.53.3` is required.
+`transformers==4.53.3` is required, we are actively working to support the latest version.
 The following contains a code snippet illustrating how to use the model generate content based on given inputs.
 
 ```python