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Model: sometimesanotion/Lamarck-14B-v0.7-Fusion Source: Original Platform
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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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- sometimesanotion/Lamarck-14B-v0.7
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- sometimesanotion/Qwenvergence-14B-v12-Prose-DS
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- jpacifico/Chocolatine-2-14B-Instruct-v2.0.3
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- suayptalha/Lamarckvergence-14B
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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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license: apache-2.0
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language:
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- en
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---
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# EXPERIMENTAL:
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> [!TIP] Evaluations show high GPQA and strong reasoning capabilities in addition to this model's fine prose! IFEVAL is modest compared to other capabilities. This model is best used for free-form creativity.
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So what's this new arcee_fusion merge method, and what can we do with it? This model aims to find out, as a multi-stage merge where 3 out of 4 steps are fusions:
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* A fusion of [Lamarck-14B-v0.7](http://huggingface.co/sometimesanotion/Lamarck-14B-v0.7) and @suayptalha's [Lamarckvergence SLERP merge](http://huggingface.co/suayptalha/Lamarckvergence-14B) of Lamarck-14B-v0.7 and [Qwenvergence-14B-v12-Prose-DS](http://huggingface.co/sometimesanotion/Qwenvergence-14B-v12-Prose-DS).
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* A SLERP of Lamarck-14B-v0.7-Fusionvergence with Qwenvergence-14B-v12-Prose-DS, the latter emphasized in later layers.
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* A fusion of @jpacifico's [Chocolatine-2-14B-Instruct-v2.0.3](http://huggingface.co/jpacifico/Chocolatine-2-14B-Instruct-v2.0.3), itself a finetune of a merge of Lamarck-14B-v0.7, Arcee's (https://huggingface.co/arcee-ai/Virtuoso-Small-v2), and Qwenvergence-14B-v12-Prose-DS, fusion-merged with - you guessed it - Qwenvergence-14B-v12-Prose-DS
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* A fusion of the previous two.
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I've seen strong prose from this model, which is natural considering its re-emphasis of Qwenvergence-14B-v12-Prose-DS. A full evaluation will be cued shortly.
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This merge strategy is much simpler than a mainline Lamarck release, but that is necessary to see how multiple fusion merges behave. Where it fits for efforts towards a Lamarck v0.8 depends greatly on evaluation and feedback.
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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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name: Lamarck-14B-v0.7-Fusionvergence
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merge_method: arcee_fusion
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base_model: sometimesanotion/Lamarck-14B-v0.7
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tokenizer_source: base
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parameters:
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int8_mask: true
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normalize: true
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rescale: false
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dtype: bfloat16
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out_dtype: bfloat16
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models:
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- model: suayptalha/Lamarckvergence-14B
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---
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name: Slerp-Lamarckvevergence
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base_model: sometimesanotion/Lamarck-14B-v0.7-Fusion-Lamarckvergence
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merge_method: slerp
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tokenizer_source: base
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dtype: float32
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out_dtype: bfloat16
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parameters:
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t:
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- filter: self_attn
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value: [ 0.00, 0.50, 0.30, 0.70, 1.00 ]
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- filter: mlp
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value: [ 1.00, 0.50, 0.70, 0.30, 0.00 ]
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- value: [ 0.00, 0.00, 0.00, 0.00, 0.04, 0.08, 0.12, 0.16, 0.24, 0.32, 0.40, 0.48, 0.56, 0.64, 0.72, 0.72, 0.72, 0.72, 0.72, 0.72, 0.72, 0.72, 0.64, 0.56, 0.48 ]
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slices:
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- sources:
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- model: sometimesanotion/Lamarck-14B-v0.7-Fusion-Lamarckvergence
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layer_range: [ 0, 48 ]
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- model: sometimesanotion/Qwenvergence-14B-v12-Prose-DS
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layer_range: [ 0, 48 ]
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---
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name: Chocolatine-Fusion-Qwenvergence
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merge_method: arcee_fusion
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base_model: jpacifico/Chocolatine-2-14B-Instruct-v2.0.3
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tokenizer_source: base
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parameters:
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int8_mask: true
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normalize: true
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rescale: false
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dtype: bfloat16
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out_dtype: bfloat16
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models:
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- model: sometimesanotion/Qwenvergence-14B-v12-Prose-DS
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---
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name: Lamarck-14B-v0.7-Fusion
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merge_method: arcee_fusion
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base_model: sometimesanotion/Slerp-Lamarckvevergence
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tokenizer_source: base
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parameters:
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int8_mask: true
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normalize: true
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rescale: false
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dtype: bfloat16
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out_dtype: bfloat16
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models:
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- model: sometimesanotion/Chocolatine-Fusion-Qwenvergence
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```
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name: Lamarck-14B-v0.7-Fusion
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merge_method: arcee_fusion
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base_model: sometimesanotion/Slerp-Lamarckvevergence
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tokenizer_source: base
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parameters:
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int8_mask: true
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normalize: true
|
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rescale: false
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dtype: bfloat16
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out_dtype: bfloat16
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models:
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- model: sometimesanotion/Chocolatine-Fusion-Qwenvergence
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"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"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 %}\n",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"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