Text Generation
Transformers
Safetensors
qwen3
context-management
tool-use
agent
conversational
text-generation-inference
Instructions to use tencent/ContextPilot-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tencent/ContextPilot-14B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="tencent/ContextPilot-14B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("tencent/ContextPilot-14B") model = AutoModelForCausalLM.from_pretrained("tencent/ContextPilot-14B", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use tencent/ContextPilot-14B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "tencent/ContextPilot-14B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "tencent/ContextPilot-14B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/tencent/ContextPilot-14B
- SGLang
How to use tencent/ContextPilot-14B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "tencent/ContextPilot-14B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "tencent/ContextPilot-14B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "tencent/ContextPilot-14B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "tencent/ContextPilot-14B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use tencent/ContextPilot-14B with Docker Model Runner:
docker model run hf.co/tencent/ContextPilot-14B
Upload folder using huggingface_hub
Browse files- .gitattributes +2 -0
- LICENSE +438 -0
- README.md +56 -0
- added_tokens.json +28 -0
- assets/contextpilot_overview.png +3 -0
- chat_template.jinja +89 -0
- config.json +30 -0
- generation_config.json +13 -0
- merges.txt +0 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +450 -0
- selective_merge.json +37 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +239 -0
- vocab.json +0 -0
.gitattributes
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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|
| 1 |
+
Tencent is pleased to support the open source community by making ContextPilot-14B available.
|
| 2 |
+
|
| 3 |
+
Copyright (C) 2026 Tencent. All rights reserved.
|
| 4 |
+
|
| 5 |
+
The open-source software and/or models included in this distribution may have been modified by Tencent (“Tencent Modifications”). All Tencent Modifications are Copyright (C) Tencent.
|
| 6 |
+
|
| 7 |
+
ContextPilot-14B is licensed under the License Terms of ContextPilot-14B, except for the third-party components listed below, which remain licensed under their respective original terms. ContextPilot-14B does not impose any additional restrictions on such third-party components beyond those specified in their respective original licenses. Users are required to comply with all applicable terms and conditions of the original licenses and to ensure that the use of these third-party components conforms to all relevant laws and regulations.
|
| 8 |
+
|
| 9 |
+
For the avoidance of doubt, ContextPilot-14B refers to parameters and weights made publicly available by Tencent in this repository.
|
| 10 |
+
|
| 11 |
+
Terms of License Terms of ContextPilot-14B:
|
| 12 |
+
--------------------------------------------------------------------
|
| 13 |
+
Apache License
|
| 14 |
+
Version 2.0, January 2004
|
| 15 |
+
http://www.apache.org/licenses/
|
| 16 |
+
|
| 17 |
+
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
|
| 18 |
+
|
| 19 |
+
0. ContextPilot-14B is made available solely for the purpose of scientific research and development. You shall not use it for any other purpose.
|
| 20 |
+
|
| 21 |
+
1. Definitions.
|
| 22 |
+
|
| 23 |
+
"License" shall mean the terms and conditions for use, reproduction,
|
| 24 |
+
and distribution as defined by Sections 1 through 9 of this document.
|
| 25 |
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|
| 26 |
+
"Licensor" shall mean the copyright owner or entity authorized by
|
| 27 |
+
the copyright owner that is granting the License.
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| 28 |
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| 29 |
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"Legal Entity" shall mean the union of the acting entity and all
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| 30 |
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other entities that control, are controlled by, or are under common
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| 31 |
+
control with that entity. For the purposes of this definition,
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| 32 |
+
"control" means (i) the power, direct or indirect, to cause the
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direction or management of such entity, whether by contract or
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otherwise, or (ii) ownership of fifty percent (50%) or more of the
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outstanding shares, or (iii) beneficial ownership of such entity.
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"You" (or "Your") shall mean an individual or Legal Entity
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exercising permissions granted by this License.
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"Source" form shall mean the preferred form for making modifications,
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README.md
ADDED
|
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|
| 1 |
+
---
|
| 2 |
+
license: other
|
| 3 |
+
pipeline_tag: text-generation
|
| 4 |
+
library_name: transformers
|
| 5 |
+
base_model: Qwen/Qwen3-14B
|
| 6 |
+
tags:
|
| 7 |
+
- context-management
|
| 8 |
+
- tool-use
|
| 9 |
+
- agent
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
# ContextPilot-14B
|
| 13 |
+
|
| 14 |
+
**ContextPilot: Teaching Agents for Proactive Context Management via Fine-grained RL**
|
| 15 |
+
|
| 16 |
+
ContextPilot-14B is the Qwen3-14B checkpoint of **ContextPilot**, a proactive context-management framework for long-horizon language-model agents. It teaches agents to plan, maintain long-term memory, and offload less useful context while they continue reasoning and using tools. For more details, see our [paper]() and [code repository](https://github.com/Tencent/ContextPilot).
|
| 17 |
+
|
| 18 |
+

|
| 19 |
+
|
| 20 |
+
## Overview
|
| 21 |
+
|
| 22 |
+
ContextPilot combines three main components:
|
| 23 |
+
|
| 24 |
+
- an extended context-management toolset with planning, structured memory, retrieval, and soft context offloading;
|
| 25 |
+
- context-aware partial rollout that focuses exploration on sensitive context-editing decisions; and
|
| 26 |
+
- fine-grained credit assignment that trains intermediate snapshots using the outcomes of their downstream branches.
|
| 27 |
+
|
| 28 |
+
The resulting agents are evaluated on long-context question answering and deep-search tasks; see the [evaluation instructions](https://github.com/Tencent/ContextPilot/tree/main/infer#evaluation) for details.
|
| 29 |
+
|
| 30 |
+
## Loading
|
| 31 |
+
|
| 32 |
+
```python
|
| 33 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 34 |
+
|
| 35 |
+
model_id = "tencent/ContextPilot-14B"
|
| 36 |
+
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
| 37 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 38 |
+
model_id,
|
| 39 |
+
torch_dtype="auto",
|
| 40 |
+
device_map="auto",
|
| 41 |
+
)
|
| 42 |
+
```
|
| 43 |
+
|
| 44 |
+
Note that loading the checkpoint alone does not execute context-management tools; the tool definitions, agent runtime, and evaluation pipeline are provided in the [ContextPilot repository](https://github.com/Tencent/ContextPilot). See the [inference guide](https://github.com/Tencent/ContextPilot/blob/main/infer/README.md) for the full setup.
|
| 45 |
+
|
| 46 |
+
## Intended Use
|
| 47 |
+
|
| 48 |
+
This checkpoint is intended for research on proactive context management, long-horizon agents, long-context QA, and deep search.
|
| 49 |
+
|
| 50 |
+
## License
|
| 51 |
+
|
| 52 |
+
[LICENSE](https://huggingface.co/tencent/ContextPilot-14B/blob/main/LICENSE).
|
| 53 |
+
|
| 54 |
+
## Citation
|
| 55 |
+
|
| 56 |
+
Citation details will be added with the accompanying paper.
|
added_tokens.json
ADDED
|
@@ -0,0 +1,28 @@
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</think>": 151668,
|
| 3 |
+
"</tool_call>": 151658,
|
| 4 |
+
"</tool_response>": 151666,
|
| 5 |
+
"<think>": 151667,
|
| 6 |
+
"<tool_call>": 151657,
|
| 7 |
+
"<tool_response>": 151665,
|
| 8 |
+
"<|box_end|>": 151649,
|
| 9 |
+
"<|box_start|>": 151648,
|
| 10 |
+
"<|endoftext|>": 151643,
|
| 11 |
+
"<|file_sep|>": 151664,
|
| 12 |
+
"<|fim_middle|>": 151660,
|
| 13 |
+
"<|fim_pad|>": 151662,
|
| 14 |
+
"<|fim_prefix|>": 151659,
|
| 15 |
+
"<|fim_suffix|>": 151661,
|
| 16 |
+
"<|im_end|>": 151645,
|
| 17 |
+
"<|im_start|>": 151644,
|
| 18 |
+
"<|image_pad|>": 151655,
|
| 19 |
+
"<|object_ref_end|>": 151647,
|
| 20 |
+
"<|object_ref_start|>": 151646,
|
| 21 |
+
"<|quad_end|>": 151651,
|
| 22 |
+
"<|quad_start|>": 151650,
|
| 23 |
+
"<|repo_name|>": 151663,
|
| 24 |
+
"<|video_pad|>": 151656,
|
| 25 |
+
"<|vision_end|>": 151653,
|
| 26 |
+
"<|vision_pad|>": 151654,
|
| 27 |
+
"<|vision_start|>": 151652
|
| 28 |
+
}
|
assets/contextpilot_overview.png
ADDED
|
Git LFS Details
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# 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>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\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" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if message.content is string %}
|
| 27 |
+
{%- set content = message.content %}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{%- set content = '' %}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 33 |
+
{%- elif message.role == "assistant" %}
|
| 34 |
+
{%- set reasoning_content = '' %}
|
| 35 |
+
{%- if message.reasoning_content is string %}
|
| 36 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if '</think>' in content %}
|
| 39 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 45 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- else %}
|
| 50 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if message.tool_calls %}
|
| 53 |
+
{%- for tool_call in message.tool_calls %}
|
| 54 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
+
{{- '\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tool_call.function %}
|
| 58 |
+
{%- set tool_call = tool_call.function %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
+
{{- tool_call.name }}
|
| 62 |
+
{{- '", "arguments": ' }}
|
| 63 |
+
{%- if tool_call.arguments is string %}
|
| 64 |
+
{{- tool_call.arguments }}
|
| 65 |
+
{%- else %}
|
| 66 |
+
{{- tool_call.arguments | tojson }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '}\n</tool_call>' }}
|
| 69 |
+
{%- endfor %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{{- '<|im_end|>\n' }}
|
| 72 |
+
{%- elif message.role == "tool" %}
|
| 73 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
+
{{- '<|im_start|>user' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '\n<tool_response>\n' }}
|
| 77 |
+
{{- content }}
|
| 78 |
+
{{- '\n</tool_response>' }}
|
| 79 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_end|>\n' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{%- endfor %}
|
| 84 |
+
{%- if add_generation_prompt %}
|
| 85 |
+
{{- '<|im_start|>assistant\n' }}
|
| 86 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 87 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151643,
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"head_dim": 128,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 5120,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 17408,
|
| 14 |
+
"max_position_embeddings": 40960,
|
| 15 |
+
"max_window_layers": 40,
|
| 16 |
+
"model_type": "qwen3",
|
| 17 |
+
"num_attention_heads": 40,
|
| 18 |
+
"num_hidden_layers": 40,
|
| 19 |
+
"num_key_value_heads": 8,
|
| 20 |
+
"rms_norm_eps": 1e-06,
|
| 21 |
+
"rope_scaling": null,
|
| 22 |
+
"rope_theta": 1000000,
|
| 23 |
+
"sliding_window": null,
|
| 24 |
+
"tie_word_embeddings": false,
|
| 25 |
+
"torch_dtype": "bfloat16",
|
| 26 |
+
"transformers_version": "4.52.4",
|
| 27 |
+
"use_cache": true,
|
| 28 |
+
"use_sliding_window": false,
|
| 29 |
+
"vocab_size": 151936
|
| 30 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"temperature": 0.6,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.95,
|
| 12 |
+
"transformers_version": "4.52.4"
|
| 13 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model-00001-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8db6be18d613b6520648474df55a5b35bc0603dd0441f74470a1210f8e67ea1c
|
| 3 |
+
size 4963775064
|
model-00002-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fa99c1619080f45a8ef09caef1563809befe560d4ad3126012c29dbee7e1d150
|
| 3 |
+
size 4953309656
|
model-00003-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a2537674b6df6ca23d8b9baa37b9380a3a5da783fabf4775176110588098cff
|
| 3 |
+
size 4834069856
|
model-00004-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:35109802b4f4bb784ecacb2906a5a423e58d7daa692868136637db92642a988b
|
| 3 |
+
size 4897005056
|
model-00005-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:143e192a747d886d0bda9f6bb12be3ae1fd6ffe3f31a34968c62da8dc4fbd648
|
| 3 |
+
size 4959936040
|
model-00006-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f861063f6393dd4197894659f243c96751d174ea95ab0ace2bc6bc5756e11e68
|
| 3 |
+
size 4928569976
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,450 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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selective_merge.json
ADDED
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{
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| 3 |
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"anchor": "/workspace/zhuoshipan/research/ACM/agentic_verl/saves/sft/Qwen3-14B/qwen3-14b-v124-long-closedloop-v132-step10-20260811/global_step_10/huggingface",
|
| 4 |
+
"vector": "/workspace/zhuoshipan/research/ACM/agentic_verl/saves/sft/Qwen3-14B/qwen3-14b-v132-novel-closedloop-v133-step10-20260811/global_step_10/huggingface",
|
| 5 |
+
"vector_base": "/workspace/zhuoshipan/research/ACM/agentic_verl/saves/sft/Qwen3-14B/qwen3-14b-v124-long-closedloop-v132-step10-20260811/global_step_10/huggingface",
|
| 6 |
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"protect_base": null,
|
| 7 |
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"protect_vector": null,
|
| 8 |
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"protect_vector_base": null,
|
| 9 |
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"weight": 1.5,
|
| 10 |
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"mode": "all",
|
| 11 |
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|
| 12 |
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| 13 |
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"layers": [
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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 |
+
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|
| 20 |
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|
| 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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"include_non_layer": false,
|
| 26 |
+
"key_regex": "mlp",
|
| 27 |
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"exclude_key_regex": null,
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| 28 |
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"stats": {
|
| 29 |
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"floating_coordinates": 14768307200,
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| 30 |
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"selected_coordinates": 2673868800,
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| 31 |
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|
| 32 |
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"layer_filtered_coordinates": 12094438400,
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| 33 |
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|
| 34 |
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"changed_tensors": 30,
|
| 35 |
+
"selected_fraction": 1.0
|
| 36 |
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}
|
| 37 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
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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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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
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"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
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"content": "<|im_end|>",
|
| 19 |
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"lstrip": false,
|
| 20 |
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"normalized": false,
|
| 21 |
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"rstrip": false,
|
| 22 |
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"single_word": false
|
| 23 |
+
},
|
| 24 |
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"pad_token": {
|
| 25 |
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"content": "<|endoftext|>",
|
| 26 |
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"lstrip": false,
|
| 27 |
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|
| 28 |
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"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
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|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
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|
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|
|
|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
| 3 |
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size 11422654
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,239 @@
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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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|
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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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|
|
|
|
|
|
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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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|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"add_bos_token": false,
|
| 3 |
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"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
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"151643": {
|
| 6 |
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"content": "<|endoftext|>",
|
| 7 |
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"lstrip": false,
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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"special": true
|
| 12 |
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},
|
| 13 |
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"151644": {
|
| 14 |
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"content": "<|im_start|>",
|
| 15 |
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|
| 16 |
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"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
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"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
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"151645": {
|
| 22 |
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"content": "<|im_end|>",
|
| 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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"special": true
|
| 28 |
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},
|
| 29 |
+
"151646": {
|
| 30 |
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"content": "<|object_ref_start|>",
|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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"special": true
|
| 36 |
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},
|
| 37 |
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"151647": {
|
| 38 |
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"content": "<|object_ref_end|>",
|
| 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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"special": true
|
| 44 |
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},
|
| 45 |
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"151648": {
|
| 46 |
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"content": "<|box_start|>",
|
| 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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"special": true
|
| 68 |
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|
| 69 |
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"151651": {
|
| 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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"151652": {
|
| 78 |
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|
| 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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"151653": {
|
| 86 |
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"content": "<|vision_end|>",
|
| 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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"normalized": false,
|
| 97 |
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|
| 98 |
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|
| 99 |
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"special": true
|
| 100 |
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},
|
| 101 |
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"151655": {
|
| 102 |
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"content": "<|image_pad|>",
|
| 103 |
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|
| 104 |
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"normalized": false,
|
| 105 |
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"rstrip": false,
|
| 106 |
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"single_word": false,
|
| 107 |
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"special": true
|
| 108 |
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},
|
| 109 |
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"151656": {
|
| 110 |
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"content": "<|video_pad|>",
|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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"single_word": false,
|
| 115 |
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"special": true
|
| 116 |
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},
|
| 117 |
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"151657": {
|
| 118 |
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"content": "<tool_call>",
|
| 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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"151658": {
|
| 126 |
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"content": "</tool_call>",
|
| 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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"151659": {
|
| 134 |
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"content": "<|fim_prefix|>",
|
| 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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|
| 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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|
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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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|
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|
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
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|
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|
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|
| 188 |
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|
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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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|
| 203 |
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|
| 204 |
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| 211 |
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|
| 212 |
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+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>"
|
| 228 |
+
],
|
| 229 |
+
"bos_token": null,
|
| 230 |
+
"clean_up_tokenization_spaces": false,
|
| 231 |
+
"eos_token": "<|im_end|>",
|
| 232 |
+
"errors": "replace",
|
| 233 |
+
"extra_special_tokens": {},
|
| 234 |
+
"model_max_length": 131072,
|
| 235 |
+
"pad_token": "<|endoftext|>",
|
| 236 |
+
"split_special_tokens": false,
|
| 237 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 238 |
+
"unk_token": null
|
| 239 |
+
}
|
vocab.json
ADDED
|
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|
|