初始化项目，由ModelHub XC社区提供模型
Model: YOYO-AI/Qwen2.5-14B-Fusion Source: Original Platform
This commit is contained in:
ModelHub XC
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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README.md
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README.md
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---
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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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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# Arcee Fusion: The Art of Selective Merging
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## Arcee Fusion works in three key stages:
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***1.Importance Scoring:***
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*Instead of blindly merging all parameters, Arcee Fusion calculates an importance score for each parameter, combining the absolute difference between model parameters with a divergence measure based on softmax distributions and KL divergence. This ensures that only meaningful changes are considered.*
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***2.Dynamic Thresholding:***
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*The algorithm analyzes the distribution of importance scores, calculating key quantiles (median, Q1, and Q3) and setting a dynamic threshold using median + 1.5 × IQR (a standard technique for outlier detection). This intelligently filters out less significant changes.*
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***3.Selective Integration:***
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*A fusion mask is created based on the importance scores and the threshold. Only the most significant elements are incorporated into the base model, ensuring that the merge process is adaptive and selective. This preserves the base model's stability while integrating the most valuable updates from the other model.*
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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/Qwen2.5-14B-Instruct
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merge_method: arcee_fusion
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base_model: Qwen/Qwen2.5-14B
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parameters:
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normalize: true
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int8_mask: true
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rescale: false
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dtype: float16
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out_dtype: float16
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tokenizer_source: base
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```
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config.json
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{
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"_name_or_path": "YOYO-AI/Qwen2.5-14B-Fusion",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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mergekit_config.yml
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mergekit_config.yml
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models:
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- model: Qwen/Qwen2.5-14B-Instruct
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merge_method: arcee_fusion
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base_model: Qwen/Qwen2.5-14B
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parameters:
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normalize: true
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int8_mask: true
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rescale: false
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|
||||
"<|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
|
||||
}
|
||||
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