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6
.gitattributes
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6
.gitattributes
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@@ -44,4 +44,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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merges.txt filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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vocab.json filter=lfs diff=lfs merge=lfs -text
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82
README.md
82
README.md
@@ -1,47 +1,45 @@
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---
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license: Apache License 2.0
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base_model:
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- Qwen/Qwen2.5-Coder-7B
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- Qwen/Qwen2.5-Coder-7B-instruct
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library_name: transformers
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tags:
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- mergekit
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- merge
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#model-type:
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##如 gpt、phi、llama、chatglm、baichuan 等
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#- gpt
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#domain:
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##如 nlp、cv、audio、multi-modal
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#- nlp
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#language:
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##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
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#- cn
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#metrics:
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##如 CIDEr、Blue、ROUGE 等
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#- CIDEr
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#tags:
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##各种自定义,包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
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#- pretrained
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#tools:
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##如 vllm、fastchat、llamacpp、AdaSeq 等
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#- vllm
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---
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### 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。
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#### 您可以通过如下git clone命令,或者ModelScope SDK来下载模型
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# merge
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SDK下载
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```bash
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#安装ModelScope
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pip install modelscope
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```
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```python
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#SDK模型下载
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from modelscope import snapshot_download
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model_dir = snapshot_download('YOYO-AI/Qwen2.5-Coder-7B-YOYO')
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```
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Git下载
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```
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#Git模型下载
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git clone https://www.modelscope.cn/YOYO-AI/Qwen2.5-Coder-7B-YOYO.git
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```
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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<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>
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## Merge Details
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### Merge Method
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This model was merged using the [DELLA](https://arxiv.org/abs/2406.11617) merge method using [Qwen/Qwen2.5-Coder-7B](https://huggingface.co/Qwen/Qwen2.5-Coder-7B) as a base.
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### Models Merged
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The following models were included in the merge:
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* [Qwen/Qwen2.5-Coder-7B-instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-instruct)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: Qwen/Qwen2.5-Coder-7B-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-7B
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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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```
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added_tokens.json
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added_tokens.json
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29
config.json
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config.json
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@@ -0,0 +1,29 @@
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{
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"_name_or_path": "YOYO-AI/Qwen2.5-Coder-14B-YOYO",
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"architectures": [
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"Qwen2ForCausalLM"
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}
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1
configuration.json
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1
configuration.json
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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15
mergekit_config.yml
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15
mergekit_config.yml
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@@ -0,0 +1,15 @@
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models:
|
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- model: Qwen/Qwen2.5-Coder-7B-instruct
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parameters:
|
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density: 1
|
||||
weight: 1
|
||||
lambda: 0.9
|
||||
merge_method: della
|
||||
base_model: Qwen/Qwen2.5-Coder-7B
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parameters:
|
||||
density: 1
|
||||
weight: 1
|
||||
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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3
merges.txt
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3
merges.txt
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special_tokens_map.json
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|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. 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 Qwen, created by Alibaba Cloud. You 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": 32768,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
BIN
vocab.json
(Stored with Git LFS)
Normal file
BIN
vocab.json
(Stored with Git LFS)
Normal file
Binary file not shown.
Reference in New Issue
Block a user