Update tiny models for Glm4vMoeTextModel
Browse files- .gitattributes +1 -0
- chat_template.jinja +118 -0
- config.json +47 -0
- model.safetensors +3 -0
- preprocessor_config.json +26 -0
- tokenizer.json +3 -0
- tokenizer_config.json +13 -0
- video_preprocessor_config.json +34 -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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chat_template.jinja
ADDED
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@@ -0,0 +1,118 @@
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[gMASK]<sop>
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{%- if tools -%}
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<|system|>
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# Tools
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You may call one or more functions to assist with the user query.
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You are provided with function signatures within <tools></tools> XML tags:
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<tools>
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{% for tool in tools %}
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{{ tool | tojson(ensure_ascii=False) }}
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{% endfor %}
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</tools>
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For each function call, output the function name and arguments within the following XML format:
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<tool_call>{function-name}
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<arg_key>{arg-key-1}</arg_key>
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<arg_value>{arg-value-1}</arg_value>
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<arg_key>{arg-key-2}</arg_key>
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<arg_value>{arg-value-2}</arg_value>
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...
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</tool_call>{%- endif -%}
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{%- macro visible_text(content) -%}
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{%- if content is string -%}
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{{- content }}
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{%- elif content is iterable and content is not mapping -%}
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{%- for item in content -%}
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{%- if item is mapping and item.type == 'text' -%}
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{{- item.text }}
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{%- elif item is mapping and (item.type == 'image' or 'image' in item) -%}
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<|begin_of_image|><|image|><|end_of_image|>
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{%- elif item is mapping and (item.type == 'video' or 'video' in item) -%}
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<|begin_of_video|><|video|><|end_of_video|>
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{%- elif item is string -%}
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{{- item }}
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{%- endif -%}
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{%- endfor -%}
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{%- else -%}
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{{- content }}
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{%- endif -%}
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{%- endmacro -%}
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{%- set ns = namespace(last_user_index=-1) %}
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{%- for m in messages %}
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{%- if m.role == 'user' %}
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{% set ns.last_user_index = loop.index0 -%}
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{%- endif %}
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{%- endfor %}
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{% for m in messages %}
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{%- if m.role == 'user' -%}<|user|>
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{% if m.content is string %}
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{{ m.content }}
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{%- else %}
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{%- for item in m.content %}
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{% if item.type == 'video' or 'video' in item %}
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<|begin_of_video|><|video|><|end_of_video|>{% elif item.type == 'image' or 'image' in item %}
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<|begin_of_image|><|image|><|end_of_image|>{% elif item.type == 'text' %}
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{{ item.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{{- '/nothink' if (enable_thinking is defined and not enable_thinking and not visible_text(m.content).endswith("/nothink")) else '' -}}
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{%- elif m.role == 'assistant' -%}
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<|assistant|>
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{%- set reasoning_content = '' %}
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{%- set content = visible_text(m.content) %}
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{%- if m.reasoning_content is string %}
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{%- set reasoning_content = m.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_user_index and reasoning_content -%}
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{{ '\n<think>' + reasoning_content.strip() + '</think>'}}
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{%- else -%}
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{{ '\n<think></think>' }}
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{%- endif -%}
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{%- if content.strip() -%}
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{{ '\n' + content.strip() }}
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{%- endif -%}
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{% if m.tool_calls %}
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{% for tc in m.tool_calls %}
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{%- if tc.function %}
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{%- set tc = tc.function %}
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{%- endif %}
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{{ '\n<tool_call>' + tc.name }}
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{% set _args = tc.arguments %}
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{% for k, v in _args.items() %}
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<arg_key>{{ k }}</arg_key>
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<arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>
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{% endfor %}
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</tool_call>{% endfor %}
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{% endif %}
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{%- elif m.role == 'tool' -%}
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{%- if m.content is string -%}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|observation|>' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- m.content }}
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{{- '\n</tool_response>' }}
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{%- else -%}
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<|observation|>{% for tr in m.content %}
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<tool_response>
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{{ tr.output if tr.output is defined else tr }}
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</tool_response>{% endfor -%}
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{% endif -%}
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{%- elif m.role == 'system' -%}
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<|system|>
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{{ visible_text(m.content) }}
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{%- endif -%}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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<|assistant|>
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{{'<think></think>\n' if (enable_thinking is defined and not enable_thinking) else ''}}
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{%- endif -%}
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config.json
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@@ -0,0 +1,47 @@
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{
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"architectures": [
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"Glm4vMoeTextModel"
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],
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"attention_bias": true,
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dtype": "float32",
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"eos_token_id": 151329,
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"first_k_dense_replace": 1,
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"hidden_act": "silu",
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"hidden_size": 16,
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"initializer_range": 0.02,
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"intermediate_size": 22,
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"max_position_embeddings": 512,
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"model_type": "glm4v_moe_text",
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"moe_intermediate_size": 1408,
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"n_group": 1,
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"n_routed_experts": 8,
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"n_shared_experts": 1,
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"norm_topk_prob": true,
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"num_attention_heads": 2,
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"num_experts_per_tok": 8,
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"num_hidden_layers": 2,
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"num_key_value_heads": 1,
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"output_channels": 64,
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"pad_token_id": 151329,
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"partial_rotary_factor": 0.5,
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"mrope_section": [
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2,
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2
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],
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"partial_rotary_factor": 1.0,
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"rope_theta": 10000,
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"rope_type": "default",
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"type": "default"
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},
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"routed_scaling_factor": 1.0,
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"router_aux_loss_coef": 0.0001,
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"tie_word_embeddings": true,
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"topk_group": 1,
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"transformers_version": "5.16.0.dev0",
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"use_cache": true,
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"vocab_size": 151365
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}
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model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:890df18c83c4ce3d82f1a462d29e1390f545cc5621f53334c1dd1040bb6e6395
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size 12134904
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preprocessor_config.json
ADDED
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{
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_processor_type": "Glm4vImageProcessor",
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"merge_size": 2,
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"patch_size": 14,
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"longest_edge": 9633792,
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"shortest_edge": 12544
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},
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"temporal_patch_size": 2
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}
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tokenizer.json
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:bda8e2146c3bb7b7e0fc96dcc4f0aeff041c6c27952e3ace0665663ebff346ba
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+
size 19970700
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tokenizer_config.json
ADDED
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@@ -0,0 +1,13 @@
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{
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"backend": "tokenizers",
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"clean_up_tokenization_spaces": false,
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"do_lower_case": false,
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| 5 |
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"eos_token": "<|endoftext|>",
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"is_local": true,
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"local_files_only": false,
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"model_max_length": 512,
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"pad_token": "<|endoftext|>",
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"padding_side": "left",
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"remove_space": false,
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"tokenizer_class": "TokenizersBackend"
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}
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video_preprocessor_config.json
ADDED
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{
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"do_sample_frames": true,
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"fps": 2,
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| 8 |
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"image_mean": [
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| 9 |
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0.48145466,
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| 10 |
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0.4578275,
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| 11 |
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0.40821073
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],
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"max_duration": 300,
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| 19 |
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"max_image_size": {
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"longest_edge": 47040000
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},
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| 22 |
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"merge_size": 2,
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| 23 |
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"num_frames": 16,
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| 24 |
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"patch_size": 14,
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| 25 |
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"resample": 3,
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| 26 |
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"rescale_factor": 0.00392156862745098,
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| 27 |
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"return_metadata": false,
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| 28 |
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"size": {
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| 29 |
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"longest_edge": 47040000,
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"shortest_edge": 12544
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| 31 |
+
},
|
| 32 |
+
"temporal_patch_size": 2,
|
| 33 |
+
"video_processor_type": "Glm4vVideoProcessor"
|
| 34 |
+
}
|