Upload self-contained SmoothQuant W8A8 bundle
Browse files- .gitattributes +1 -0
- README.txt +3 -0
- benchmark_loader_manifest.json +8 -0
- chat_template.jinja +138 -0
- config.json +93 -0
- processor_config.json +63 -0
- tokenizer.json +3 -0
- tokenizer_config.json +22 -0
- w8a8_smoothquant_meta.json +2302 -0
- w8a8_smoothquant_state.pt +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip 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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*.zip 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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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.txt
ADDED
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@@ -0,0 +1,3 @@
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Self-contained W8A8 SmoothQuant bundle.
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No base checkpoint is required to load this bundle.
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Use the loader cell in this notebook to reconstruct model modules and load state_dict.
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benchmark_loader_manifest.json
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@@ -0,0 +1,8 @@
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{
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"artifact_type": "compressingvlm_w8a8_smoothquant_bundle",
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"format_version": 1,
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"quant_state_file": "w8a8_smoothquant_state.pt",
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"quant_meta_file": "w8a8_smoothquant_meta.json",
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"self_contained_bundle": true,
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"requires_base_model_download": false
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}
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chat_template.jinja
ADDED
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@@ -0,0 +1,138 @@
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{%- set image_placeholder = '<|vision_start|><|image_pad|><|vision_end|>' -%}
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{%- for message in messages -%}
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{%- if message['role'] == 'system' -%}
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{{- '<|im_start|>system
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' -}}
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{%- if message['content'] is string -%}
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{{- message['content'] | trim -}}
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{%- endif -%}
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{{- '<|im_end|>
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' -}}
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{%- elif message['role'] == 'user' -%}
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{%- if loop.first -%}
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{{- '<|im_start|>system
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' -}}
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{%- if template -%}
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{#--- If template, extraction task ---#}
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{{- 'You are NuExtract, an information extraction tool created by NuMind.' -}}
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{%- else -%}
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{#--- Else, template generation task ---#}
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{{- 'You are a helpful assistant.' -}}
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{%- endif -%}
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{{ '<|im_end|>
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' }}
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{%- endif -%}
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{{- '<|im_start|>' + message['role'] + '
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' -}}
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{%- if template -%}
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{#--- Template Section ---#}
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{{- '# Template:
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' -}}
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| 31 |
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{{- template -}}
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| 32 |
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{{- '
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' -}}
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{%- if examples -%}
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{#--- Examples can only exist in the extraction task ---#}
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| 37 |
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{{- '# Examples:
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' -}}
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| 39 |
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{%- for example in examples -%}
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| 40 |
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{{- '## Input:
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| 41 |
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' -}}
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| 42 |
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{%- if example['input'] is mapping and (example['input']['type'] == 'image' or example['input']['type'] == 'image_url') -%}
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| 43 |
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{{- image_placeholder | trim -}}
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| 44 |
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{%- elif example['input'] == '<image>' -%}
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| 45 |
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{#--- Keep compatibility with <image> for now ---#}
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| 46 |
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{{- image_placeholder | trim -}}
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| 47 |
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{%- else -%}
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| 48 |
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{#--- Text input example ---#}
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| 49 |
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{{- example['input'] -}}
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| 50 |
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{%- endif -%}
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| 51 |
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{{- '
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' -}}
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| 53 |
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{{- '## Output:
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| 54 |
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' -}}
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| 55 |
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{{- example['output'] -}}
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| 56 |
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{{- '
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' -}}
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| 58 |
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{%- endfor -%}
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| 59 |
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{%- endif -%}
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| 60 |
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{{- '# Context:
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' -}}
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{%- endif -%}
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{%- if message['content'] is string -%}
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{#--- Simple string content ---#}
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{{- message['content'] | trim -}}
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{%- elif message['content'] is mapping and (message['content']['type'] == 'image' or message['content']['type'] == 'image_url') -%}
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{{- image_placeholder | trim -}}
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{%- else -%}
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{#--- List of content items (mixed text/images) ---#}
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| 71 |
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{#--- First, determine what the actual input content is (not ICL images) ---#}
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| 72 |
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{%- set ns = namespace(has_text_input=false, text_content='') -%}
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| 73 |
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{#--- Count content types and identify actual input document ---#}
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| 75 |
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{%- for content in message['content'] -%}
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| 76 |
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{%- if content is mapping and content.get('type') == 'text' -%}
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| 77 |
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{%- if content.get('text') != '<image>' -%}
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| 78 |
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{#--- Keep compatibility with <image> for now ---#}
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| 79 |
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{%- set ns.has_text_input = true -%}
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| 80 |
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{%- set ns.text_content = content['text'] -%}
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| 81 |
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{%- endif -%}
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| 82 |
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{%- elif content is string -%}
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| 83 |
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{%- if content != '<image>' -%}
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| 84 |
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{#--- Keep compatibility with <image> for now ---#}
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| 85 |
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{%- set ns.has_text_input = true -%}
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| 86 |
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{%- set ns.text_content = content -%}
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| 87 |
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{%- endif -%}
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| 88 |
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{%- endif -%}
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| 89 |
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{%- endfor -%}
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| 90 |
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| 91 |
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{#--- Determine what to output based on actual input type ---#}
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| 92 |
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{%- if ns.has_text_input -%}
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| 93 |
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{#--- Main input is text, so output the text content ---#}
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| 94 |
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{{- ns.text_content | trim -}}
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| 95 |
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{%- else -%}
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| 96 |
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{#--- Main input is image or <image> placeholder ---#}
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| 97 |
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{%- set ns2 = namespace(found_image=false) -%}
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| 98 |
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{%- for content in message['content'] -%}
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| 99 |
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{%- if content is mapping and (content.get('type') == 'image' or content.get('type') == 'image_url') and not ns2.found_image -%}
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| 100 |
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{{- image_placeholder | trim -}}
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| 101 |
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{%- set ns2.found_image = true -%}
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| 102 |
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{%- elif content is mapping and content.get('type') == 'text' and content.get('text') == '<image>' and not ns2.found_image -%}
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| 103 |
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{#--- Keep compatibility with <image> for now ---#}
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| 104 |
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{{- image_placeholder | trim -}}
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| 105 |
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{%- set ns2.found_image = true -%}
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| 106 |
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{%- elif content is string and content == '<image>' and not ns2.found_image -%}
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| 107 |
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{#--- Keep compatibility with <image> for now ---#}
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| 108 |
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{{- image_placeholder | trim -}}
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| 109 |
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{%- set ns2.found_image = true -%}
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| 110 |
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{%- endif -%}
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| 111 |
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{%- endfor -%}
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| 112 |
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{%- endif -%}
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| 113 |
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{%- endif -%}
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| 114 |
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{{- '<|im_end|>
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| 115 |
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'}}
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| 116 |
+
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| 117 |
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{%- elif message['role'] == 'assistant' -%}
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| 118 |
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{{- '<|im_start|>assistant
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| 119 |
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' -}}
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| 120 |
+
{%- if message['content'] is string -%}
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| 121 |
+
{{- message['content'] | trim -}}
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| 122 |
+
{%- elif message['content'] is iterable and message['content'] is not string -%}
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| 123 |
+
{%- for content in message['content'] -%}
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| 124 |
+
{%- if content is mapping and content.get('type') == 'text' -%}
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| 125 |
+
{{- content['text'] | trim -}}
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| 126 |
+
{%- elif content is string -%}
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| 127 |
+
{{- content | trim -}}
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| 128 |
+
{%- endif -%}
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| 129 |
+
{%- endfor -%}
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| 130 |
+
{%- endif -%}
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| 131 |
+
{{- '<|im_end|>
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| 132 |
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' -}}
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| 133 |
+
{%- endif -%}
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| 134 |
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{%- endfor -%}
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| 135 |
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{%- if add_generation_prompt -%}
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| 136 |
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{{- '<|im_start|>assistant
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| 137 |
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' -}}
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| 138 |
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{%- endif -%}
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config.json
ADDED
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@@ -0,0 +1,93 @@
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| 1 |
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{
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| 2 |
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"architectures": [
|
| 3 |
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"Qwen2VLForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "float16",
|
| 6 |
+
"image_token_id": 151655,
|
| 7 |
+
"model_type": "qwen2_vl",
|
| 8 |
+
"text_config": {
|
| 9 |
+
"attention_dropout": 0.0,
|
| 10 |
+
"bos_token_id": 151643,
|
| 11 |
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"dtype": "float16",
|
| 12 |
+
"eos_token_id": 151645,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 1536,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 8960,
|
| 17 |
+
"layer_types": [
|
| 18 |
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"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
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"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention"
|
| 46 |
+
],
|
| 47 |
+
"max_position_embeddings": 32768,
|
| 48 |
+
"max_window_layers": 28,
|
| 49 |
+
"model_type": "qwen2_vl_text",
|
| 50 |
+
"num_attention_heads": 12,
|
| 51 |
+
"num_hidden_layers": 28,
|
| 52 |
+
"num_key_value_heads": 2,
|
| 53 |
+
"pad_token_id": null,
|
| 54 |
+
"rms_norm_eps": 1e-06,
|
| 55 |
+
"rope_parameters": {
|
| 56 |
+
"mrope_section": [
|
| 57 |
+
16,
|
| 58 |
+
24,
|
| 59 |
+
24
|
| 60 |
+
],
|
| 61 |
+
"rope_theta": 1000000.0,
|
| 62 |
+
"rope_type": "default",
|
| 63 |
+
"type": "default"
|
| 64 |
+
},
|
| 65 |
+
"sliding_window": null,
|
| 66 |
+
"use_cache": true,
|
| 67 |
+
"use_sliding_window": false,
|
| 68 |
+
"vocab_size": 151936
|
| 69 |
+
},
|
| 70 |
+
"tie_word_embeddings": true,
|
| 71 |
+
"transformers_version": "5.3.0",
|
| 72 |
+
"video_token_id": 151656,
|
| 73 |
+
"vision_config": {
|
| 74 |
+
"depth": 32,
|
| 75 |
+
"dtype": "float16",
|
| 76 |
+
"embed_dim": 1280,
|
| 77 |
+
"hidden_act": "quick_gelu",
|
| 78 |
+
"hidden_size": 1536,
|
| 79 |
+
"in_channels": 3,
|
| 80 |
+
"in_chans": 3,
|
| 81 |
+
"initializer_range": 0.02,
|
| 82 |
+
"mlp_ratio": 4,
|
| 83 |
+
"model_type": "qwen2_vl",
|
| 84 |
+
"num_heads": 16,
|
| 85 |
+
"patch_size": 14,
|
| 86 |
+
"spatial_merge_size": 2,
|
| 87 |
+
"spatial_patch_size": 14,
|
| 88 |
+
"temporal_patch_size": 2
|
| 89 |
+
},
|
| 90 |
+
"vision_end_token_id": 151653,
|
| 91 |
+
"vision_start_token_id": 151652,
|
| 92 |
+
"vision_token_id": 151654
|
| 93 |
+
}
|
processor_config.json
ADDED
|
@@ -0,0 +1,63 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"do_convert_rgb": true,
|
| 5 |
+
"do_normalize": true,
|
| 6 |
+
"do_rescale": true,
|
| 7 |
+
"do_resize": true,
|
| 8 |
+
"image_mean": [
|
| 9 |
+
0.48145466,
|
| 10 |
+
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|
| 11 |
+
0.40821073
|
| 12 |
+
],
|
| 13 |
+
"image_processor_type": "Qwen2VLImageProcessorFast",
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.26862954,
|
| 16 |
+
0.26130258,
|
| 17 |
+
0.27577711
|
| 18 |
+
],
|
| 19 |
+
"merge_size": 2,
|
| 20 |
+
"patch_size": 14,
|
| 21 |
+
"resample": 3,
|
| 22 |
+
"rescale_factor": 0.00392156862745098,
|
| 23 |
+
"size": {
|
| 24 |
+
"longest_edge": 301056,
|
| 25 |
+
"shortest_edge": 100352
|
| 26 |
+
},
|
| 27 |
+
"temporal_patch_size": 2
|
| 28 |
+
},
|
| 29 |
+
"processor_class": "Qwen2_5_VLProcessor",
|
| 30 |
+
"video_processor": {
|
| 31 |
+
"data_format": "channels_first",
|
| 32 |
+
"default_to_square": true,
|
| 33 |
+
"do_convert_rgb": true,
|
| 34 |
+
"do_normalize": true,
|
| 35 |
+
"do_rescale": true,
|
| 36 |
+
"do_resize": true,
|
| 37 |
+
"do_sample_frames": false,
|
| 38 |
+
"image_mean": [
|
| 39 |
+
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|
| 40 |
+
0.4578275,
|
| 41 |
+
0.40821073
|
| 42 |
+
],
|
| 43 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 44 |
+
"image_std": [
|
| 45 |
+
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|
| 46 |
+
0.26130258,
|
| 47 |
+
0.27577711
|
| 48 |
+
],
|
| 49 |
+
"max_frames": 768,
|
| 50 |
+
"merge_size": 2,
|
| 51 |
+
"min_frames": 4,
|
| 52 |
+
"patch_size": 14,
|
| 53 |
+
"resample": 3,
|
| 54 |
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"rescale_factor": 0.00392156862745098,
|
| 55 |
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"return_metadata": false,
|
| 56 |
+
"size": {
|
| 57 |
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"longest_edge": 301056,
|
| 58 |
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"shortest_edge": 100352
|
| 59 |
+
},
|
| 60 |
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"temporal_patch_size": 2,
|
| 61 |
+
"video_processor_type": "Qwen2VLVideoProcessor"
|
| 62 |
+
}
|
| 63 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1a7aabe7a3b44651592a99607bb33066e6965260336be9218cccd53af161491d
|
| 3 |
+
size 11422060
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_commit_hash": null,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"backend": "tokenizers",
|
| 5 |
+
"bos_token": null,
|
| 6 |
+
"clean_up_tokenization_spaces": false,
|
| 7 |
+
"eos_token": "<|im_end|>",
|
| 8 |
+
"errors": "replace",
|
| 9 |
+
"is_local": true,
|
| 10 |
+
"max_length": null,
|
| 11 |
+
"max_pixels": 301056,
|
| 12 |
+
"min_pixels": 100352,
|
| 13 |
+
"model_max_length": 131072,
|
| 14 |
+
"pad_to_multiple_of": null,
|
| 15 |
+
"pad_token": "<|endoftext|>",
|
| 16 |
+
"pad_token_type_id": 0,
|
| 17 |
+
"padding_side": "right",
|
| 18 |
+
"processor_class": "Qwen2_5_VLProcessor",
|
| 19 |
+
"split_special_tokens": false,
|
| 20 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 21 |
+
"unk_token": null
|
| 22 |
+
}
|
w8a8_smoothquant_meta.json
ADDED
|
@@ -0,0 +1,2302 @@
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"format_version": 1,
|
| 3 |
+
"artifact_type": "compressingvlm_w8a8_smoothquant_bundle",
|
| 4 |
+
"base_model": "/content/compressingvlm_nuextract2/artifacts/merged_full_checkpoint",
|
| 5 |
+
"dataset_id": "letxbe/BoundingDocs",
|
| 6 |
+
"smoothquant_alpha": 0.5,
|
| 7 |
+
"converted_layers": 327,
|
| 8 |
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"skipped_layers": 0,
|
| 9 |
+
"quant_meta": {
|
| 10 |
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|
| 11 |
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"in_features": 1280,
|
| 12 |
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|
| 13 |
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"act_scale": 0.011774783059367983,
|
| 14 |
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"smoothquant_alpha": 0.5,
|
| 15 |
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"out_dtype": "torch.float16"
|
| 16 |
+
},
|
| 17 |
+
"model.visual.blocks.0.attn.proj": {
|
| 18 |
+
"in_features": 1280,
|
| 19 |
+
"out_features": 1280,
|
| 20 |
+
"act_scale": 0.004796601186587116,
|
| 21 |
+
"smoothquant_alpha": 0.5,
|
| 22 |
+
"out_dtype": "torch.float16"
|
| 23 |
+
},
|
| 24 |
+
"model.visual.blocks.0.mlp.fc1": {
|
| 25 |
+
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|
| 26 |
+
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|
| 27 |
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"act_scale": 0.020350467501662847,
|
| 28 |
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|
| 29 |
+
"out_dtype": "torch.float16"
|
| 30 |
+
},
|
| 31 |
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"model.visual.blocks.0.mlp.fc2": {
|
| 32 |
+
"in_features": 5120,
|
| 33 |
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|
| 34 |
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"act_scale": 0.01206465593473179,
|
| 35 |
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|
| 36 |
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"out_dtype": "torch.float16"
|
| 37 |
+
},
|
| 38 |
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"model.visual.blocks.1.attn.qkv": {
|
| 39 |
+
"in_features": 1280,
|
| 40 |
+
"out_features": 3840,
|
| 41 |
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"act_scale": 0.013214042806249904,
|
| 42 |
+
"smoothquant_alpha": 0.5,
|
| 43 |
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"out_dtype": "torch.float16"
|
| 44 |
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},
|
| 45 |
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"model.visual.blocks.1.attn.proj": {
|
| 46 |
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|
| 47 |
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| 48 |
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| 49 |
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|
| 50 |
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"out_dtype": "torch.float16"
|
| 51 |
+
},
|
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|
w8a8_smoothquant_state.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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