Improve language tag
Browse filesHi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.
README.md
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---
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license: apache-2.0
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parameters:
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```
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---
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license: apache-2.0
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language:
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- zho
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- eng
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- fra
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- spa
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- por
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- deu
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- ita
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- rus
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- jpn
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- kor
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- vie
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- tha
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- ara
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base_model:
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- Qwen/Qwen2.5-14B
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- Qwen/Qwen2.5-14B-Instruct
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- Qwen/Qwen2.5-14B-Instruct-1M
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- tanliboy/lambda-qwen2.5-14b-dpo-test
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- arcee-ai/SuperNova-Medius
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- arcee-ai/Virtuoso-Small-v2
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- Azure99/Blossom-V6-14B
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- Qwen/Qwen2.5-Coder-14B
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- Qwen/Qwen2.5-Coder-14B-Instruct
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- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
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- huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
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pipeline_tag: text-generation
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tags:
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- merge
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---
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# Qwen2.5-14B-YOYO-V4
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*[Qwen2.5-14B-YOYO-V5 Officially Released!](https://huggingface.co/YOYO-AI/Qwen2.5-14B-YOYO-V5)*
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**Key Highlights:**
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*1. Richer Knowledge & Improved Instruction Compliance*
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*2. Integrated Code Model and R1 Distillation for Improved Coding/Reasoning*
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*3. 1M-Token Long Context Window*
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## First stage:
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```yaml
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merge_method: sce
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models:
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# Pivot model
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- model: Qwen/Qwen2.5-14B-Instruct-1M
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# Target models
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- model: Qwen/Qwen2.5-14B
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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-1M
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```
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```yaml
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models:
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- model: tanliboy/lambda-qwen2.5-14b-dpo-test
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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: Qwen2.5-14B-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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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-1M-della
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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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- 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-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
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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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- 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/SuperNova-Medius
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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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- 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-della3
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```
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## Third 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-Coder-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-Coder-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-Coder-14B-della
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```
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### Step 2:
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```yaml
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merge_method: model_stock
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base_model: Qwen/Qwen2.5-14B-Instruct
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models:
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- model: Qwen2.5-Coder-14B-della
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- model: arcee-ai/Virtuoso-Small-v2
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- model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
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- model: huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
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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: Qwen2.5-14B-mst
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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: Qwen2.5-14B-1M-della
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models:
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- model: Qwen2.5-14B-della1
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- model: Qwen2.5-14B-della2
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- model: Qwen2.5-14B-della3
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- model: Qwen2.5-14B-mst
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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: YOYO-AI/Qwen2.5-14B-YOYO-V4
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```
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