Update README.md

README.md

@@ -9,7 +9,7 @@ tags:
 base_model: THUDM/chatglm3-6b
 ---
 
-# chatglm3-6b-awq-w-int4-asym-gs128-lmhead-a-fp16-onnx-ryzen-strix-hybrid
+# chatglm3-6b-awq-w-int4-asym-gs128-a-fp16-onnx-ryzen-strix-hybrid
 - ## Introduction
   This model was created by applying [Quark](https://quark.docs.amd.com/latest/index.html) with calibration samples from Pile dataset, and applying [onnxruntime-genai model builder](https://github.com/microsoft/onnxruntime-genai/tree/main/src/python/py/models) to convert to ONNX.
 - ## Quantization Strategy
@@ -19,10 +19,6 @@ base_model: THUDM/chatglm3-6b
 - ## Quick Start
   For quickstart, refer to AMD [RyzenAI-SW-EA](https://account.amd.com/en/member/ryzenai-sw-ea.html) (to be updated)
 
-## Evaluation
-Quark currently uses perplexity(PPL) as the evaluation metric for accuracy loss before and after quantization.The specific PPL algorithm can be referenced in the quantize_quark.py.
-The quantization evaluation results are conducted in pseudo-quantization mode, which may slightly differ from the actual quantized inference accuracy. These results are provided for reference only.
-
 #### License
 Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved.