初始化项目，由ModelHub XC社区提供模型
Model: kd13/Type-o1-nano-instruct Source: Original Platform
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113
README.md
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README.md
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---
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license: mit
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language:
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- en
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- hi
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base_model:
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- Qwen/Qwen2.5-0.5B
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- qwen
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- nano
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---
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# Type-o1-nano-instruct
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A very compact general-purpose instruct model designed for lightweight assistant use across everyday tasks — general chat, Python coding help, writing and content generation, language tasks, math, and tool-style web search workflows.
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The model is intended for small-footprint deployments where users need clear, practical answers and helpful explanations without the cost of a larger model.
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## Capabilities
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This model can help with:
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* General chat and multi-turn conversation
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* Python coding assistance and code explanation
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* Mathematics and basic quantitative reasoning
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* Engineering concepts and explanations
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* Creative writing (stories, poetry, writing prompts)
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* Content generation (marketing copy, social media captions, emails)
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* English grammar correction and rewriting
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* Advanced NLP tasks:
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* Fill-mask
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* Table question answering
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* Context-based question answering (SQuAD style)
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* Summarization (dialogue, news, and scientific papers)
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* English ↔ Hindi translation
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* Web search tool-call style conversations
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## Chat Format
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The model follows a Harmony-style chat structure.
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Supported interaction flow:
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```text
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system -> developer -> user -> tool call -> tool result -> final response
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```
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For normal chat use, you can use a standard chat-template style prompt.
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## Web Search Tool-Call Style
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The model can be used in tool-calling style conversations where the assistant decides when a search is needed, emits a tool call, receives a tool result, and then writes the final answer.
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Example structure:
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```text
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system: You are a helpful assistant with access to web search.
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user: Find the latest information about a topic.
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assistant tool call: web_search(...)
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tool result: ...
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assistant final: Answer using the search result.
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```
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Actual tool execution depends on your inference framework or application wrapper.
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## Recommended Use Cases
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This model is best suited for:
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* Lightweight general-purpose assistants
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* On-device or low-resource deployments
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* Writing and content generation helpers
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* Grammar and language correction tools
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* English ↔ Hindi translation helpers
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* Summarization and document Q&A tools
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* Beginner Python learning assistants
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* Tool-call research experiments
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* Chatbots where speed and small size matter more than depth
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## Limitations
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This model is not recommended for:
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* Production-critical software generation without review
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* Non-Python coding tasks such as C++, Java, Rust, Go, or JavaScript
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* Security-sensitive code generation
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* Medical, legal, or financial decision-making
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* Advanced or research-level mathematics
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* Long multi-file software engineering tasks
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* Tasks requiring very long context
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* High-stakes factual lookup without verification
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The model may sometimes:
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* Produce incorrect facts or reasoning
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* Miss edge cases
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* Over-explain simple questions
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* Generate code that needs testing
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* Struggle with very long context
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* Use tool-call format inconsistently depending on the prompt
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* Give uneven quality across its supported domains
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Being a very small model, it is best used for straightforward tasks rather than complex or nuanced ones. Always verify important outputs and test generated code before using it.
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## License
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Please check the model repository license before commercial or production use.
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## Disclaimer
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This model is an experimental small general-purpose assistant. It should be used as a helpful assistant, not as a guaranteed source of truth. For important tasks, verify outputs with tests, documentation, and human review.
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24
added_tokens.json
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added_tokens.json
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54
chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are MUA o1 Lite, created by OumuamuaAI. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are MUA o1 Lite, created by OumuamuaAI. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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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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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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56
config.json
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56
config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "bfloat16",
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"hidden_act": "silu",
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"hidden_size": 896,
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"initializer_range": 0.02,
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"intermediate_size": 4864,
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"layer_types": [
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"full_attention",
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"max_window_layers": 24,
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"model_type": "qwen2",
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"vocab_size": 151665
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}
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6
generation_config.json
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generation_config.json
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{
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151388
merges.txt
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151388
merges.txt
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model.safetensors
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model.safetensors
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size 987612192
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31
special_tokens_map.json
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31
special_tokens_map.json
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{
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3
tokenizer.json
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3
tokenizer.json
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|
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|
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size 11421896
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207
tokenizer_config.json
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207
tokenizer_config.json
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|
||||
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|
||||
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|
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|
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|
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|
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|
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|
||||
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|
||||
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|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"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,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:f00cab3b8b10943974d8843485768a4dadd5ef49b38f6e69ed679b559f8e7447
|
||||
size 5841
|
||||
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