Trimmed ibm-granite/granite-4.0-h-1b for Arabic (16384 tokens)
Browse files- README.md +73 -0
- chat_template.jinja +118 -0
- config.json +90 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +783 -0
README.md
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---
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language: arb
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license: apache-2.0
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tags:
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- trimmed
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- granite
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- granite-4.0
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base_model: ibm-granite/granite-4.0-h-1b
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base_model_relation: quantized
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datasets:
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- Lumberjackk/fineweb-2-trimming
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---
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# granite-4.0-h-1b-arb-16384
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This model is a **8.82% smaller** version of [ibm-granite/granite-4.0-h-1b](https://huggingface.co/ibm-granite/granite-4.0-h-1b) optimized for Arabic language via vocabulary size reduction using the [trimming](https://huggingface.co/blog/introduction-to-trimming) method.
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This trimmed model should perform similarly to the original model with only **16,384 tokens** and a much smaller memory footprint. However, it may not perform well for other languages as tokens not commonly used in Arabic were removed from the vocabulary.
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## Model Statistics
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| Metric | Original | Trimmed | Reduction |
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|--------|----------|---------|-----------|
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| **Vocabulary size** | 100,352 tokens | 16,384 tokens | **83.67%** |
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| **Model size** | 1,461,538,368 params | 1,332,563,520 params | **8.82%** |
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## Mining Dataset Statistics
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- **Number of texts used for mining**: 200,000 texts
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- **Dataset**: [Lumberjackk/fineweb-2-trimming](https://huggingface.co/datasets/Lumberjackk/fineweb-2-trimming)
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## Usage
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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device = "cuda"
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model_path = "lbourdois/granite-4.0-h-1b-arb-16384"
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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# drop device_map if running on CPU
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model = AutoModelForCausalLM.from_pretrained(model_path, device_map=device)
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model.eval()
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# change input text as desired
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chat = [
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{"role": "user", "content": "Your prompt in Arabic."},
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]
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chat = tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True)
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# tokenize the text
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input_tokens = tokenizer(chat, return_tensors="pt").to(device)
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# generate output tokens
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output = model.generate(**input_tokens, max_new_tokens=100)
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# decode output tokens into text
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output = tokenizer.batch_decode(output)
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print(output[0])
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```
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## Citation
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#### Granite 4.0
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```bibtex
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@misc{granite4team2025,
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title={Granite 4.0 Language Models},
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author={Granite Team, IBM},
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year={2025},
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url={https://huggingface.co/ibm-granite/granite-4.0-350m},
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}
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```
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chat_template.jinja
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{%- set tools_system_message_prefix = 'You are a helpful assistant with access to the following tools. You may call one or more tools to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>' %}
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{%- set tools_system_message_suffix = '\n</tools>\n\nFor each tool 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>. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request.' %}
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{%- set documents_system_message_prefix = 'You are a helpful assistant with access to the following documents. You may use one or more documents to assist with the user query.\n\nYou are given a list of documents within <documents></documents> XML tags:\n<documents>' %}
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{%- set documents_system_message_suffix = '\n</documents>\n\nWrite the response to the user\'s input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data.' %}
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{%- set g4_default_system_message = 'You are a helpful assistant. Please ensure responses are professional, accurate, and safe.' %}
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{%- if available_tools is defined and available_tools %}
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{%- set tools = available_tools %}
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{%- endif %}
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{%- set ns = namespace(tools_system_message=tools_system_message_prefix,
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documents_system_message=documents_system_message_prefix,
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default_system_message=g4_default_system_message,
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system_message=''
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) %}
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{%- if tools %}
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{%- for tool in tools %}
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{%- set ns.tools_system_message = ns.tools_system_message + '\n' + (tool | tojson) %}
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{%- endfor %}
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{%- set ns.tools_system_message = ns.tools_system_message + tools_system_message_suffix %}
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{%- else %}
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{%- set ns.tools_system_message = '' %}
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{%- endif %}
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{%- if documents %}
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{%- for document in documents %}
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{%- set ns.documents_system_message = ns.documents_system_message + '\n' + (document | tojson) %}
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{%- endfor %}
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{%- set ns.documents_system_message = ns.documents_system_message + documents_system_message_suffix %}
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{%- else %}
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{%- set ns.documents_system_message = '' %}
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{%- endif %}
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{%- if messages[0].role == 'system' %}
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{%- if messages[0].content is string %}
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{%- set ns.system_message = messages[0].content %}
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{%- elif messages[0].content is iterable %}
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{%- for entry in messages[0].content %}
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{%- if entry.type== 'text' %}
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{%- if ns.system_message != '' %}
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{%- set ns.system_message = ns.system_message + '\n' %}
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{%- endif %}
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{%- set ns.system_message = ns.system_message + entry.text %}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{%- if tools and documents %}
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{%- set ns.system_message = ns.system_message + '\n\n' + ns.tools_system_message + '\n\n' + ns.documents_system_message %}
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{%- elif tools %}
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{%- set ns.system_message = ns.system_message + '\n\n' + ns.tools_system_message %}
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{%- elif documents %}
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{%- set ns.system_message = ns.system_message + '\n\n' + ns.documents_system_message %}
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{%- endif %}
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{%- else %}
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{%- if tools and documents %}
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{%- set ns.system_message = ns.tools_system_message + '\n\n' + ns.documents_system_message %}
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{%- elif tools %}
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{%- set ns.system_message = ns.tools_system_message %}
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{%- elif documents %}
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{%- set ns.system_message = ns.documents_system_message %}
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{%- endif %}
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{%- endif %}
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{%- if ns.system_message %}
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{{- '<|start_of_role|>system<|end_of_role|>' + ns.system_message + '<|end_of_text|>\n' }}
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{%- else %}
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{{- '<|start_of_role|>system<|end_of_role|>' + ns.default_system_message + '<|end_of_text|>\n' }}
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{%- endif %}
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{%- for message in messages %}
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{%- set content = namespace(val='') %}
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{%- if message.content is string %}
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{%- set content.val = message.content %}
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{%- else %}
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{%- if message.content is iterable %}
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{%- for entry in message.content %}
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{%- if entry.type== 'text' %}
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{%- if content.val != '' %}
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{%- set content.val = content.val + '\n' %}
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{%- endif %}
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{%- set content.val = content.val + entry.text %}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{%- endif %}
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{%- if (message.role == 'user') or (message.role == 'system' and not loop.first) %}
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{{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val + '<|end_of_text|>\n' }}
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{%- elif message.role == 'assistant' %}
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{{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val }}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content.val) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|end_of_text|>\n' }}
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{%- elif message.role == 'tool' %}
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{%- if loop.first or (messages[loop.index0 - 1].role != 'tool') %}
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{{- '<|start_of_role|>user<|end_of_role|>' }}
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| 107 |
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{%- endif %}
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| 108 |
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{{- '\n<tool_response>\n' }}
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{{- content.val }}
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| 110 |
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != 'tool') %}
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| 112 |
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{{- '<|end_of_text|>\n' }}
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| 113 |
+
{%- endif %}
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| 114 |
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{%- endif %}
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| 115 |
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{%- endfor %}
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| 116 |
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{%- if add_generation_prompt %}
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| 117 |
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{{- '<|start_of_role|>assistant<|end_of_role|>' }}
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| 118 |
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{%- endif %}
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config.json
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|
| 1 |
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{
|
| 2 |
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"architectures": [
|
| 3 |
+
"GraniteMoeHybridForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attention_multiplier": 0.0078125,
|
| 8 |
+
"bos_token_id": 100257,
|
| 9 |
+
"embedding_multiplier": 12,
|
| 10 |
+
"eos_token_id": 100257,
|
| 11 |
+
"hidden_act": "silu",
|
| 12 |
+
"hidden_size": 1536,
|
| 13 |
+
"init_method": "mup",
|
| 14 |
+
"initializer_range": 0.1,
|
| 15 |
+
"intermediate_size": 4096,
|
| 16 |
+
"layer_types": [
|
| 17 |
+
"mamba",
|
| 18 |
+
"mamba",
|
| 19 |
+
"mamba",
|
| 20 |
+
"mamba",
|
| 21 |
+
"mamba",
|
| 22 |
+
"attention",
|
| 23 |
+
"mamba",
|
| 24 |
+
"mamba",
|
| 25 |
+
"mamba",
|
| 26 |
+
"mamba",
|
| 27 |
+
"mamba",
|
| 28 |
+
"mamba",
|
| 29 |
+
"mamba",
|
| 30 |
+
"mamba",
|
| 31 |
+
"mamba",
|
| 32 |
+
"attention",
|
| 33 |
+
"mamba",
|
| 34 |
+
"mamba",
|
| 35 |
+
"mamba",
|
| 36 |
+
"mamba",
|
| 37 |
+
"mamba",
|
| 38 |
+
"mamba",
|
| 39 |
+
"mamba",
|
| 40 |
+
"mamba",
|
| 41 |
+
"mamba",
|
| 42 |
+
"attention",
|
| 43 |
+
"mamba",
|
| 44 |
+
"mamba",
|
| 45 |
+
"mamba",
|
| 46 |
+
"mamba",
|
| 47 |
+
"mamba",
|
| 48 |
+
"mamba",
|
| 49 |
+
"mamba",
|
| 50 |
+
"mamba",
|
| 51 |
+
"mamba",
|
| 52 |
+
"attention",
|
| 53 |
+
"mamba",
|
| 54 |
+
"mamba",
|
| 55 |
+
"mamba",
|
| 56 |
+
"mamba"
|
| 57 |
+
],
|
| 58 |
+
"logits_scaling": 6,
|
| 59 |
+
"mamba_chunk_size": 256,
|
| 60 |
+
"mamba_conv_bias": true,
|
| 61 |
+
"mamba_d_conv": 4,
|
| 62 |
+
"mamba_d_head": 64,
|
| 63 |
+
"mamba_d_state": 128,
|
| 64 |
+
"mamba_expand": 2,
|
| 65 |
+
"mamba_n_groups": 1,
|
| 66 |
+
"mamba_n_heads": 48,
|
| 67 |
+
"mamba_proj_bias": false,
|
| 68 |
+
"max_position_embeddings": 131072,
|
| 69 |
+
"model_type": "granitemoehybrid",
|
| 70 |
+
"normalization_function": "rmsnorm",
|
| 71 |
+
"num_attention_heads": 12,
|
| 72 |
+
"num_experts_per_tok": 0,
|
| 73 |
+
"num_hidden_layers": 40,
|
| 74 |
+
"num_key_value_heads": 4,
|
| 75 |
+
"num_local_experts": 0,
|
| 76 |
+
"output_router_logits": false,
|
| 77 |
+
"pad_token_id": 16288,
|
| 78 |
+
"position_embedding_type": "nope",
|
| 79 |
+
"residual_multiplier": 0.22,
|
| 80 |
+
"rms_norm_eps": 1e-05,
|
| 81 |
+
"rope_scaling": null,
|
| 82 |
+
"rope_theta": 10000,
|
| 83 |
+
"router_aux_loss_coef": 0.01,
|
| 84 |
+
"shared_intermediate_size": 4096,
|
| 85 |
+
"tie_word_embeddings": true,
|
| 86 |
+
"torch_dtype": "bfloat16",
|
| 87 |
+
"transformers_version": "4.56.0",
|
| 88 |
+
"use_cache": true,
|
| 89 |
+
"vocab_size": 16384
|
| 90 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 16289,
|
| 4 |
+
"eos_token_id": 16289,
|
| 5 |
+
"pad_token_id": 16288
|
| 6 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3d4260c5034d40c7295a8ff5372cc829a897877b727a777c8f6c3b2c4615849b
|
| 3 |
+
size 2665178736
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|end_of_text|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|end_of_text|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<|pad|>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<|unk|>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,783 @@
|
|
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|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
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|
| 6 |
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|
| 7 |
+
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|
| 8 |
+
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|
| 9 |
+
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|
| 10 |
+
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|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
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|
| 14 |
+
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|
| 15 |
+
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|
| 16 |
+
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|
| 17 |
+
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|
| 18 |
+
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|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
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|
| 22 |
+
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|
| 23 |
+
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|
| 24 |
+
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|
| 25 |
+
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|
| 26 |
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|
| 27 |
+
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|
| 28 |
+
},
|
| 29 |
+
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|
| 30 |
+
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|
| 31 |
+
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|
| 32 |
+
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|
| 33 |
+
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|
| 34 |
+
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|
| 35 |
+
"special": false
|
| 36 |
+
},
|
| 37 |
+
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|
| 38 |
+
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
+
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|
| 44 |
+
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|
| 45 |
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|
| 46 |
+
"content": "<|fim_pad|>",
|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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"content": "<|end_of_role|>",
|
| 79 |
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| 80 |
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|
| 81 |
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| 82 |
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| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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| 89 |
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|
| 90 |
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| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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| 104 |
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|
| 105 |
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| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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| 117 |
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|
| 118 |
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|
| 119 |
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| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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| 128 |
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|
| 129 |
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| 130 |
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| 131 |
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|
| 132 |
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| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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| 153 |
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|
| 154 |
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| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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| 215 |
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| 216 |
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|
| 217 |
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| 218 |
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| 219 |
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|
| 220 |
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| 221 |
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| 222 |
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| 223 |
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| 224 |
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|
| 225 |
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| 226 |
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| 227 |
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| 228 |
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| 229 |
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|
| 230 |
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| 231 |
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| 232 |
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| 233 |
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| 235 |
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| 236 |
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| 238 |
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| 239 |
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| 240 |
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| 241 |
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| 242 |
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| 243 |
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| 244 |
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| 245 |
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| 246 |
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| 247 |
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| 248 |
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| 251 |
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| 254 |
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| 262 |
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| 264 |
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| 266 |
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| 267 |
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| 269 |
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| 270 |
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| 283 |
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| 284 |
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| 285 |
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| 286 |
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| 289 |
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| 290 |
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| 292 |
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| 293 |
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| 294 |
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| 295 |
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| 296 |
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| 299 |
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| 310 |
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| 315 |
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| 317 |
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| 318 |
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| 319 |
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| 323 |
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| 324 |
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