Update README.md

README.md

@@ -1,3 +1,97 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- en
+- zh
+base_model:
+- Kwai-Klear/Klear-Reasoner-8B
+- deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
+- Qwen/Qwen3-8B
+- AXCXEPT/Qwen3-EZO-8B-beta
+- Qwen/Qwen3-8B-Base
+pipeline_tag: text-generation
+tags:
+- merge
+---
+> *Enhance the performance of Qwen3-8B by merging powerful reasoning models without compromising the effectiveness of the \no_think tag!*
+# *Model Highlights:*
+
+- ***merge method**: `arcee_fusion``nuslerp`  `della`*
+
+- ***precision**: `dtype: float32``out_dtype: bfloat16`*
+
+- ***Context length**: `40960`*
+
+# *Parameter Settings:*
+## *Thinking Mode:*
+> [!NOTE]
+> *`Temperature=0.6`, `TopP=0.95`, `TopK=20`,`MinP=0`.*
+## *Non-thinking Mode:*
+> [!TIP]
+> *`Temperature=0.7`, `TopP=0.8`, `TopK=20`,`MinP=0`.*
+
+## *Step1: Merge Two Hybrid Models*
+- *Leverage the advantages of the two hybrid models.*
+```yaml
+models:
+  - model: AXCXEPT/Qwen3-EZO-8B-beta
+merge_method: arcee_fusion
+base_model: Qwen/Qwen3-8B
+dtype: float32
+out_dtype: bfloat16
+tokenizer_source: base
+name: Qwen3-8B-fusion
+```
+## *Step2: Merge High-Performance Reasoning Models with Hybrid Models*
+- *Maximize the proportion of reasoning models and output the merged model before the \no_think tag becomes ineffective.*
+```yaml
+models:
+  - model: Qwen/Qwen3-8B
+    parameters:
+      weight: 0.55
+  - model: deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
+    parameters:
+      weight: 0.45
+merge_method: nuslerp
+tokenizer_source: Qwen/Qwen3-8B
+dtype: float32
+out_dtype: bfloat16
+name: Qwen3-8B-nuslerp1
+```
+```yaml
+models:
+  - model: Qwen/Qwen3-8B
+    parameters:
+      weight: 0.75
+  - model: Kwai-Klear/Klear-Reasoner-8B
+    parameters:
+      weight: 0.25
+merge_method: nuslerp
+tokenizer_source: Qwen/Qwen3-8B
+dtype: float32
+out_dtype: bfloat16
+name: Qwen3-8B-nuslerp2
+```
+## *Step3: Unify the Enhanced Hybrid Modes*
+- *Merge the two models into the base model using the della merging method to make the model more versatile and stable.*
+- *We use the chat template of Qwen3-8B.*
+```yaml
+models:
+  - model: Qwen3-8B-nuslerp1
+    parameters:
+      density: 1
+      weight: 1
+      lambda: 0.9
+  - model: Qwen3-8B-nuslerp2
+    parameters:
+      density: 1
+      weight: 1
+      lambda: 0.9
+merge_method: della
+base_model: Qwen/Qwen3-8B-Base
+dtype: float32
+out_dtype: bfloat16
+name: Qwen3-8B-YOYO-V2-Hybrid
+```
+
+