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Model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.8 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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56
README.md
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README.md
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---
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base_model:
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- Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion
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- Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
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- Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5
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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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# merge
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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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## Merge Details
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### Merge Method
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This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
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### Models Merged
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The following models were included in the merge:
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* [Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion](https://huggingface.co/Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion)
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* [Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8](https://huggingface.co/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8)
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* [Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5](https://huggingface.co/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5)
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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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base_model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
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merge_method: slerp
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tokenizer_source: base
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dtype: bfloat16
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parameters:
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t:
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- filter: self_attn
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value: [0.0, 0.5, 0.3, 0.7, 1.0]
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- filter: mlp
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value: [1.0, 0.5, 0.7, 0.3, 0.0]
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- value: 0.5
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slices:
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- sources:
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- model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
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layer_range: [0, 24]
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- model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5
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layer_range: [0, 24]
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- sources:
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- model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
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layer_range: [24, 48]
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- model: Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion
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layer_range: [24, 48]
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```
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added_tokens.json
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config.json
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config.json
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{
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"_name_or_path": "Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"transformers_version": "4.48.2",
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}
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mergekit_config.yml
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mergekit_config.yml
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base_model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
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merge_method: slerp
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tokenizer_source: base
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dtype: bfloat16
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parameters:
|
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t:
|
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- filter: self_attn
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||||
value: [0.0, 0.5, 0.3, 0.7, 1.0]
|
||||
- filter: mlp
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||||
value: [1.0, 0.5, 0.7, 0.3, 0.0]
|
||||
- value: 0.5
|
||||
slices:
|
||||
- sources:
|
||||
- model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
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layer_range: [0, 24]
|
||||
- model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5
|
||||
layer_range: [0, 24]
|
||||
- sources:
|
||||
- model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
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layer_range: [24, 48]
|
||||
- model: Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion
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layer_range: [24, 48]
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|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"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|>"
|
||||
],
|
||||
"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 Virtuoso Small, created by Arcee AI. 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 %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 32768,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "left",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user