Update README.md
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README.md
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@@ -14,3 +14,231 @@ tags:
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- merge
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---
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
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14 |
- merge
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---
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
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# ZYH-LLM-Qwen2.5-14B-V3
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This is the third-generation model of the **ZYH-LLM series**.
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It employs a large amount of model merging techniques, aiming to provide a powerful and unified 14-billion-parameter model, laying a solid foundation for further *model merging* and *model fine-tuning*.
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The following are the specific details of model merging, hoping to inspire you:
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## First stage:
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### Step 1:
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```yaml
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models:
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- model: Qwen/Qwen2.5-14B-Instruct
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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merge_method: della
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base_model: Qwen/Qwen2.5-14B
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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normalize: true
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int8_mask: true
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dtype: bfloat16
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tokenizer_source: base
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name: Qwen2.5-14B-YOYO-1010
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```
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```yaml
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models:
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- model: Qwen/Qwen2.5-14B-Instruct-1M
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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merge_method: della
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base_model: Qwen/Qwen2.5-14B
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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normalize: true
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int8_mask: true
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dtype: bfloat16
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tokenizer_source: base
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name: Qwen2.5-14B-YOYO-1010-1M
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```
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```yaml
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models:
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- model: Qwen/Qwen2.5-14B-Instruct
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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merge_method: della
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base_model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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normalize: true
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int8_mask: true
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dtype: bfloat16
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tokenizer_source: base
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name: EVA-Qwen2.5-14B-YOYO-1010
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```
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```yaml
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models:
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- model: Qwen/Qwen2.5-14B-Instruct-1M
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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merge_method: della
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base_model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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normalize: true
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int8_mask: true
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dtype: bfloat16
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tokenizer_source: base
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name: EVA-Qwen2.5-14B-YOYO-1010-1M
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```
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### Step 2:
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```yaml
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models:
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- model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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merge_method: della
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base_model: Qwen/Qwen2.5-14B
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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normalize: true
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int8_mask: true
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dtype: bfloat16
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tokenizer_source: base
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name: EVA-Qwen2.5-14B-base
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```
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```yaml
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merge_method: sce
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models:
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- model: EVA-Qwen2.5-14B-base
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base_model: Qwen/Qwen2.5-14B-Instruct-1M
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parameters:
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select_topk: 1
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dtype: bfloat16
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tokenizer_source: base
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normalize: true
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int8_mask: true
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name: Qwen2.5-14B-pro
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```
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### Step 3:
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```yaml
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models:
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- model: Qwen2.5-14B-YOYO-1010-1M
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- model: Qwen2.5-14B-YOYO-1010
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- model: EVA-Qwen2.5-14B-YOYO-1010-1M
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- model: EVA-Qwen2.5-14B-YOYO-1010
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merge_method: sce
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base_model: Qwen2.5-14B-pro
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parameters:
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normalize: true
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int8_mask: true
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dtype: bfloat16
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tokenizer_source: base
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name: ZYH-LLM-Qwen2.5-14B-V3-preview
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```
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## Second stage:
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```yaml
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models:
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- model: Qwen/Qwen2.5-14B-Instruct
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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merge_method: della
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base_model: arcee-ai/Virtuoso-Small-v2
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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normalize: true
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int8_mask: true
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dtype: bfloat16
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tokenizer_source: base
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name: Qwen2.5-14B-YOYO-della1
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```
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```yaml
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models:
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- model: Qwen/Qwen2.5-14B-Instruct-1M
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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merge_method: della
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base_model: arcee-ai/Virtuoso-Small-v2
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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normalize: true
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int8_mask: true
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dtype: bfloat16
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tokenizer_source: base
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name: Qwen2.5-14B-YOYO-della2
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```
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```yaml
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models:
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- model: Qwen/Qwen2.5-14B-Instruct
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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merge_method: della
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base_model: Azure99/Blossom-V6-14B
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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normalize: true
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int8_mask: true
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dtype: bfloat16
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tokenizer_source: base
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name: Qwen2.5-14B-YOYO-della3
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```
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```yaml
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models:
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- model: Qwen/Qwen2.5-14B-Instruct-1M
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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merge_method: della
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base_model: Azure99/Blossom-V6-14B
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parameters:
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density: 1
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weight: 1
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lambda: 0.9
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normalize: true
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int8_mask: true
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dtype: bfloat16
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tokenizer_source: base
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name: Qwen2.5-14B-YOYO-della4
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```
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## Final stage:
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```yaml
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merge_method: model_stock
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base_model: ZYH-LLM-Qwen2.5-14B-V3-preview
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models:
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- model: Qwen2.5-14B-YOYO-della1
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- model: Qwen2.5-14B-YOYO-della2
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- model: Qwen2.5-14B-YOYO-della3
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- model: Qwen2.5-14B-YOYO-della4
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dtype: bfloat16
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tokenizer_source: base
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int8_mask: true
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normalize: true
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name: ZYH-LLM-Qwen2.5-14B-V3
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```
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