Upload folder using ModelScope SDK

2025-09-04 01:51:25 +00:00
parent b999d2f739
commit ab50be93f3
16 changed files with 488 additions and 44 deletions
--- a/.gitattributes
+++ b/.gitattributes
@@ -45,3 +45,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.wasm filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+
+merges.txt filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
+vocab.json filter=lfs diff=lfs merge=lfs -text
--- a/README.md
+++ b/README.md
@@ -1,47 +1,158 @@
 ---
-license: Apache License 2.0
-
-#model-type:
-##如 gpt、phi、llama、chatglm、baichuan 等
-#- gpt
-
-#domain:
-##如 nlp、cv、audio、multi-modal
-#- nlp
-
-#language:
-##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
-#- cn 
-
-#metrics:
-##如 CIDEr、Blue、ROUGE 等
-#- CIDEr
-
-#tags:
-##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
-#- pretrained
-
-#tools:
-##如 vllm、fastchat、llamacpp、AdaSeq 等
-#- vllm
+base_model:
+- mergekit-community/Qwen2.5-7B-della
+- mergekit-community/Qwen2.5-7B-ties
+- Qwen/Qwen2.5-7B-Instruct
+- Qwen/Qwen2.5-7B-Instruct-1M
+- mergekit-community/Qwen2.5-7B-ties-1M
+- Qwen/Qwen2.5-7B
+- mergekit-community/Qwen2.5-7B-della-1M
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: apache-2.0
+language:
+- en
+- zh
+pipeline_tag: text-generation
 ---
-### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
-#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
+# Achieve the Optimal Merged Model by Using One Basic Model and Two Fine-tuned Models!

-SDK下载
-```bash
-#安装ModelScope
-pip install modelscope
-```
-```python
-#SDK模型下载
-from modelscope import snapshot_download
-model_dir = snapshot_download('YOYO-AI/Qwen2.5-7B-YOYO-super')
-```
-Git下载
-```
-#Git模型下载
-git clone https://www.modelscope.cn/YOYO-AI/Qwen2.5-7B-YOYO-super.git
-```
+*What is the best way to merge **one base model** and **two fine-tuned models**?*

-<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>
+## This might be the best answer at the present stage!
+
+[Qwen2.5-7B-YOYO-super](https://huggingface.co/YOYO-AI/Qwen2.5-7B-YOYO-super)
+
+[Qwen2.5-14B-YOYO-super](https://huggingface.co/YOYO-AI/Qwen2.5-14B-YOYO-super)
+
+*This is not a whim release, but the optimal result of countless merging experiments!*
+
+*Here is the formula for the **previous generation**:*
+```yaml
+models:  
+  - model: Qwen/Qwen2.5-7B-Instruct  
+    parameters:  
+      density: 1  
+      weight: 1  
+      lambda: 0.9
+  - model: Qwen/Qwen2.5-7B-Instruct-1M  
+    parameters:  
+      density: 1  
+      weight: 1  
+      lambda: 0.9  
+merge_method: della  
+base_model: Qwen/Qwen2.5-7B  
+parameters:  
+  density: 1  
+  weight: 1  
+  lambda: 0.9  
+  normalize: true  
+  int8_mask: true  
+dtype: bfloat16  
+tokenizer_source: base
+```
+*It was widely used in the merging process of the **previous generation of models***.
+
+*However, there are some **deficiencies***:
+ 
+*1.There is relatively little retention of knowledge of the basic model.*
+
+*2.The mathematical and coding abilities have declined.*
+
+## And here is the formula for this generation:
+```yaml
+models:
+  - model: Qwen/Qwen2.5-7B-instruct
+    parameters:
+      density: 1 
+      weight: 1
+      lambda: 0.9
+merge_method: della
+base_model: Qwen/Qwen2.5-7B
+parameters:
+  density: 1
+  weight: 1
+  lambda: 0.9
+  normalize: true
+  int8_mask: true
+dtype: float16
+tokenizer_source: base
+name: Qwen2.5-7B-della
+```
+```yaml
+models:
+  - model: Qwen/Qwen2.5-7B-instruct-1M
+    parameters:
+      density: 1 
+      weight: 1
+      lambda: 0.9
+merge_method: della
+base_model: Qwen/Qwen2.5-7B
+parameters:
+  density: 1
+  weight: 1
+  lambda: 0.9
+  normalize: true
+  int8_mask: true
+dtype: float16
+tokenizer_source: base
+name: Qwen2.5-7B-della-1M
+```
+```yaml
+models:
+  - model: Qwen/Qwen2.5-7B-instruct
+    parameters:
+      density: 1 
+      weight: 1
+merge_method: ties
+base_model: Qwen/Qwen2.5-7B
+parameters:
+  density: 1
+  weight: 1
+  normalize: true
+  int8_mask: true
+dtype: float16
+tokenizer_source: base
+name: Qwen2.5-7B-ties
+```
+```yaml
+models:
+  - model: Qwen/Qwen2.5-7B-instruct-1M
+    parameters:
+      density: 1 
+      weight: 1
+merge_method: ties
+base_model: Qwen/Qwen2.5-7B
+parameters:
+  density: 1
+  weight: 1
+  normalize: true
+  int8_mask: true
+dtype: float16
+tokenizer_source: base
+name: Qwen2.5-7B-ties-1M
+```
+```yaml
+merge_method: model_stock
+base_model: Qwen/Qwen2.5-7B
+models:
+  - model: mergekit-community/Qwen2.5-7B-della
+  - model: mergekit-community/Qwen2.5-7B-della-1M
+  - model: mergekit-community/Qwen2.5-7B-ties
+  - model: mergekit-community/Qwen2.5-7B-ties-1M
+  - model: Qwen/Qwen2.5-7B-instruct-1M
+  - model: Qwen/Qwen2.5-7B-instruct
+tokenizer_source: base
+int8_mask: true
+normalize: true
+dtype: float16
+```
+*Except for a slight decrease in instruction following, **significant improvements** have been achieved in all other aspects.*
+
+*This formula will also be used in the development of **the next generation of YOYO models**.*
+
+***YOYO-AI** not only releases merged models with excellent performance but also publishes a **complete and high-quality model merging formula**, hoping to promote the progress of model merging technology in the open-source community with this!*
+
+### If you can use this formula when merging models, it will be the greatest support for YOYO-AI!
--- a/added_tokens.json
+++ b/added_tokens.json
@@ -0,0 +1,24 @@
+{
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+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}
--- a/config.json
+++ b/config.json
@@ -0,0 +1,30 @@
+{
+  "_name_or_path": "YOYO-AI/Qwen2.5-7B-YOYO-super",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": 131072,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.49.0",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151665
+}
--- a/configuration.json
+++ b/configuration.json
@@ -0,0 +1 @@
+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
--- a/mergekit_config.yml
+++ b/mergekit_config.yml
@@ -0,0 +1,13 @@
+merge_method: model_stock
+base_model: Qwen/Qwen2.5-7B
+models:
+  - model: mergekit-community/Qwen2.5-7B-della
+  - model: mergekit-community/Qwen2.5-7B-della-1M
+  - model: mergekit-community/Qwen2.5-7B-ties
+  - model: mergekit-community/Qwen2.5-7B-ties-1M
+  - model: Qwen/Qwen2.5-7B-instruct-1M
+  - model: Qwen/Qwen2.5-7B-instruct
+tokenizer_source: base
+int8_mask: true
+normalize: true
+dtype: float16
--- a/merges.txt
+++ b/merges.txt
@@ -0,0 +1,3 @@
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+size 1671853
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--- a/model.safetensors.index.json
+++ b/model.safetensors.index.json
--- a/special_tokens_map.json
+++ b/special_tokens_map.json
@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
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+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
--- a/tokenizer.json
+++ b/tokenizer.json
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+version https://git-lfs.github.com/spec/v1
+oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
+size 11421896
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -0,0 +1,208 @@
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+  "added_tokens_decoder": {
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+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
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+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}
--- a/vocab.json
+++ b/vocab.json
				`@@ -0,0 +1 @@`
				`{"framework": "pytorch", "task": "text-generation", "allow_remote": true}`