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Duplicate from allenai/tmax-4b

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Co-authored-by: Hamish Ivison <hamishivi@users.noreply.huggingface.co>

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ datasets:
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+ - allenai/tmax-15k-open-instruct
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+ base_model:
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+ - Qwen/Qwen3.5-4B
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+ ---
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/62608fc2ffe8827cb1d89f9f/XMW9_q0GCubxzTOgdsb4K.png)
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+ <p align="center">
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+ 💻 <a href="https://github.com/hamishivi/tmax">Code</a> ·
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+ 🤗 <a href="https://huggingface.co/collections/allenai/tmax">Models &amp; Data</a> ·
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+ 📜 <a href="https://arxiv.org/abs/2606.23321">Paper</a> ·
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+ 📓 <a href="https://wai-org.com/blog/tmax/">Blog</a>
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+ </p>
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+
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+ > [!NOTE]
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+ > For full information, go check out the Tmax paper [here](https://arxiv.org/abs/2606.23321).
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+
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+ # TMax 4B
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+
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+ TMax 4B is a model trained using DPPO on top of Qwen 3.5 4B for use as a terminal-agent.
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+ It achieves roughly 20% on Terminal Bench 2.0 after 200 steps of RL training.
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+
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/62608fc2ffe8827cb1d89f9f/4y85TkfC00SjDhW5Kk7FI.png)
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+
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+ This model is part of [a collection of terminal agents](https://huggingface.co/collections/allenai/tmax) in various sizes.
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+
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+ Additionally, we provide **model checkpoints** as branches of the repository.
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+ The main model checkpoint is step 200 as this performed best on TBLite.
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+
31
+ ## Evaluation Results
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+
33
+ | Model | TB Lite | TB 2.1 | TB 2.0 (daytona) |
34
+ |--------------|---------|----------|------------------|
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+ | [Qwen 3.5 2B](https://huggingface.co/Qwen/Qwen3.5-2B) | 5.71 +/- 1.6 | 1.9 +/- 1.4 | 2.3 +/- 1.0|
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+ | [Tmax 2B](https://huggingface.co/allenai/tmax-2b) | **11.8 +/- 1.4** | **4.2 +/- 1.2** | **2.9 +/- 0.6** |
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+ | [Qwen 3.5 4B](https://huggingface.co/Qwen/Qwen3.5-4B) | 31.8 +/- 3.8 | ? | 16.6 +/- 1.7 |
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+ | [Tmax 4B](https://huggingface.co/allenai/tmax-4b) **(this model!)** | **42.6 +/- 1.5** | **19.9 +/- 1.1** | **18.9 +/- 1.9** |
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+ | [Qwen 3.5 9B](https://huggingface.co/Qwen/Qwen3.5-9B) | 41.9 +/- 2.7 | 16.1 +/- 3.7 | 21.1 +/- 2.6 |
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+ | [Tmax 9B](https://huggingface.co/allenai/tmax-9b) | **57.2 +/- 2.5** | **28.8 +/- 3.7** | **27.2 +/- 1.5** |
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+ | [Qwen 3.6 27B](https://huggingface.co/Qwen/Qwen3.6-27B) | **70.8 +/- 2.1** | 40.5 +/- 2.4 | 39.6 +/- 2.1 |
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+ | [Tmax 27B](https://huggingface.co/allenai/tmax-27b) | 68.6 +/- 4.7 | **44.9 +/- 1.8** | **42.7 +/- 0.7** |
43
+
44
+
45
+ For details on evaluation methodology please check our paper. In general, we used a podman (docker) backend with default timeouts and custom harness similar to mini-swe-agent.
46
+ For the 'daytona' runs, we used the daytona backend.
47
+ For Lite/2.1, we show mean and standard error over 3 runs. For daytona, we show it over 5 runs.
48
+
49
+ ## Model Details
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+
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+ ### Model Description
52
+
53
+ <!-- Provide a longer summary of what this model is. -->
54
+ - **Developed by:** Ai2
55
+ - **Language(s) (NLP):** English
56
+ - **License:** Apache 2.0
57
+ - **Finetuned from model [optional]:** Qwen 3.5 4B
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+ - **Dataset:** [TMax-15k](https://huggingface.co/datasets/allenai/tmax-15k-open-instruct)
59
+
60
+
61
+ ### Use
62
+
63
+ To use this model, we recommend serving with vllm (or your inference framework of choice) with:
64
+ ```bash
65
+ uvx vllm==0.19.1 serve allenai/tmax-4b \
66
+ --served-model-name tmax-4b \
67
+ --enable-auto-tool-choice \
68
+ --tool-call-parser qwen3_xml \
69
+ --port 8008 \
70
+ --max-model-len 65536 \
71
+ --tensor-parallel-size 8 \
72
+ --language_model_only
73
+ ```
74
+
75
+ Make sure to set `language_model_only` as we removed the vision head during training.
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+
77
+ For more details on evaluation, please see [our codebase](https://github.com/hamishivi/tmax).
78
+
79
+ ### Hyperparameters
80
+
81
+ This model was trained using DPPO with the following hyperparameters:
82
+ - **base model**: [hamishivi/Qwen3.5-4B](https://huggingface.co/hamishivi/Qwen3.5-4B)
83
+ - **Dataset**: [tmax 15K](https://huggingface.co/datasets/allenai/tmax-15k-open-instruct)
84
+ - **Max prompt tokens**: 2048
85
+ - **Max per-turn tokens**: 16384
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+ - **Max overall tokens**: 65536
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+ - **Pack length**: 67584
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+ - **Per-device train batch size**: 1
89
+ - **Unique prompts per rollout**: 8
90
+ - **Samples per prompt rollout**: 32
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+ - **Async steps**: 4
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+ - **Max steps**: 64
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+ - **Learning rate**: 1e-6
94
+ - **LR scheduler**: constant
95
+ - **Total training steps**: 500 steps (this checkpoint is from 200 steps of training, which performed best on TBLite)
96
+ - **Sampling Temperature**: 1.0
97
+ - **KL Beta**: 0.0
98
+ - **Loss fn**: DPPO
99
+ - **Divergence**: binary TV
100
+ - **TV threshold**: 0.1
101
+ - **Advantage normalization**: centered (no division by stdev)
102
+ - **FP32 LM head**: true
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+
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+ For more details on training, please see [our codebase](https://github.com/hamishivi/tmax).
105
+
106
+ ## License
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+
108
+ This model is licensed under Apache 2.0. It is intended for research and educational use in accordance with Ai2's [Responsible Use Guidelines](https://allenai.org/responsible-use).
109
+
110
+ ## Citation
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+
112
+ If you use our model or data, please cite our paper:
113
+ ```
114
+ @misc{ivison2026tmaxsimplerecipeterminal,
115
+ title={Tmax: A simple recipe for terminal agents},
116
+ author={Hamish Ivison and Junjie Oscar Yin and Rulin Shao and Teng Xiao and Nathan Lambert and Hannaneh Hajishirzi},
117
+ year={2026},
118
+ eprint={2606.23321},
119
+ archivePrefix={arXiv},
120
+ primaryClass={cs.CL},
121
+ url={https://arxiv.org/abs/2606.23321},
122
+ }
123
+ ```
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+
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+ {%- set video_count = namespace(value=0) %}
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+ {%- macro render_content(content, do_vision_count, is_system_content=false) %}
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+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
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+ {%- if is_system_content %}
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+ {{- raise_exception('System message cannot contain images.') }}
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+ {%- endif %}
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+ {%- if do_vision_count %}
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+ {%- set image_count.value = image_count.value + 1 %}
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+ {%- endif %}
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+ {%- if add_vision_id %}
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+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
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+ {%- endif %}
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+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
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+ {%- elif 'video' in item or item.type == 'video' %}
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+ {%- if is_system_content %}
21
+ {{- raise_exception('System message cannot contain videos.') }}
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+ {%- endif %}
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+ {%- if do_vision_count %}
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+ {%- set video_count.value = video_count.value + 1 %}
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+ {%- if add_vision_id %}
27
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
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+ {%- endif %}
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+ {%- elif 'text' in item %}
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+ {{- raise_exception('Unexpected item type in content.') }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {{- '' }}
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+ {%- else %}
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+ {{- '<|im_start|>system\n' }}
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+ {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
48
+ {%- for tool in tools %}
49
+ {{- "\n" }}
50
+ {{- tool | tojson }}
51
+ {%- endfor %}
52
+ {{- "\n</tools>" }}
53
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
54
+ {%- if messages[0].role == 'system' %}
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+ {{- raise_exception('No user query found in messages.') }}
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+ {%- for message in messages %}
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+ {%- set content = render_content(message.content, true)|trim %}
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+ {%- if message.role == "system" %}
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+ {%- if not loop.first %}
85
+ {{- raise_exception('System message must be at the beginning.') }}
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88
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
89
+ {%- elif message.role == "assistant" %}
90
+ {%- set reasoning_content = '' %}
91
+ {%- if message.reasoning_content is string %}
92
+ {%- set reasoning_content = message.reasoning_content %}
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+ {%- else %}
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+ {%- if '</think>' in content %}
95
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
96
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
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+ {%- set reasoning_content = reasoning_content|trim %}
100
+ {%- if reasoning_content %}
101
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102
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103
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107
+ {%- if tool_call.function is defined %}
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+ {%- for args_name, args_value in tool_call.arguments|items %}
121
+ {{- '<parameter=' + args_name + '>\n' }}
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+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
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+ {{- args_value }}
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+ {{- '\n</parameter>\n' }}
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+ {%- endif %}
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+ {{- '</function>\n</tool_call>' }}
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+ {{- '\n</tool_response>' }}
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151
+ {%- else %}
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+ {{- '<think>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {
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+ "architectures": [
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+ "Qwen3_5ForConditionalGeneration"
4
+ ],
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+ "model_type": "qwen3_5",
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+ "text_config": {
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "attn_output_gate": true,
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+ "dtype": "bfloat16",
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+ "eos_token_id": 248044,
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+ "head_dim": 256,
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+ "hidden_act": "silu",
16
+ "hidden_size": 2560,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 9216,
19
+ "layer_types": [
20
+ "linear_attention",
21
+ "linear_attention",
22
+ "linear_attention",
23
+ "full_attention",
24
+ "linear_attention",
25
+ "linear_attention",
26
+ "linear_attention",
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+ "full_attention",
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+ "linear_attention",
29
+ "linear_attention",
30
+ "linear_attention",
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+ "full_attention",
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+ "linear_attention",
33
+ "linear_attention",
34
+ "linear_attention",
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+ "full_attention",
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+ "linear_attention",
37
+ "linear_attention",
38
+ "linear_attention",
39
+ "full_attention",
40
+ "linear_attention",
41
+ "linear_attention",
42
+ "linear_attention",
43
+ "full_attention",
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+ "linear_attention",
45
+ "linear_attention",
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+ "linear_attention",
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+ "full_attention",
48
+ "linear_attention",
49
+ "linear_attention",
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+ "linear_attention",
51
+ "full_attention"
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+ ],
53
+ "linear_conv_kernel_dim": 4,
54
+ "linear_key_head_dim": 128,
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+ "linear_num_key_heads": 16,
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+ "linear_num_value_heads": 32,
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+ "linear_value_head_dim": 128,
58
+ "max_position_embeddings": 262144,
59
+ "mlp_only_layers": [],
60
+ "model_type": "qwen3_5_text",
61
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63
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+ "rms_norm_eps": 1e-06,
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+ "tie_word_embeddings": true,
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+ "use_cache": true,
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+ "vocab_size": 248320,
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+ "mamba_ssm_dtype": "float32",
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+ "rope_parameters": {
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+ "mrope_interleaved": true,
73
+ "mrope_section": [
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+ 11,
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+ 11,
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+ 10
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+ ],
78
+ "rope_type": "default",
79
+ "rope_theta": 10000000,
80
+ "partial_rotary_factor": 0.25
81
+ }
82
+ },
83
+ "tie_word_embeddings": true,
84
+ "transformers_version": "4.57.0.dev0",
85
+ "video_token_id": 248057,
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+ "vision_config": {
87
+ "deepstack_visual_indexes": [],
88
+ "depth": 24,
89
+ "hidden_act": "gelu_pytorch_tanh",
90
+ "hidden_size": 1024,
91
+ "in_channels": 3,
92
+ "initializer_range": 0.02,
93
+ "intermediate_size": 4096,
94
+ "model_type": "qwen3_5",
95
+ "num_heads": 16,
96
+ "num_position_embeddings": 2304,
97
+ "out_hidden_size": 2560,
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+ "patch_size": 16,
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+ "spatial_merge_size": 2,
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+ "temporal_patch_size": 2
101
+ },
102
+ "vision_end_token_id": 248054,
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+ "vision_start_token_id": 248053
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+ "chat_template": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n {%- if content is string %}\n {{- content }}\n {%- elif content is iterable and content is not mapping %}\n {%- for item in content %}\n {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain images.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Picture ' ~ image_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n {%- elif 'video' in item or item.type == 'video' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain videos.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Video ' ~ video_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n {%- elif 'text' in item %}\n {{- item.text }}\n {%- else %}\n {{- raise_exception('Unexpected item type in content.') }}\n {%- endif %}\n {%- endfor %}\n {%- elif content is none or content is undefined %}\n {{- '' }}\n {%- else %}\n {{- raise_exception('Unexpected content type.') }}\n {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n {{- '<|im_start|>system\\n' }}\n {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\" }}\n {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n<tool_call>\\n<function=example_function_name>\\n<parameter=example_parameter_1>\\nvalue_1\\n</parameter>\\n<parameter=example_parameter_2>\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {%- if content %}\n {{- '\\n\\n' + content }}\n {%- endif %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {{- '<|im_start|>system\\n' + content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" %}\n {%- set content = render_content(message.content, false)|trim %}\n {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n {%- set content = render_content(message.content, true)|trim %}\n {%- if message.role == \"system\" %}\n {%- if not loop.first %}\n {{- raise_exception('System message must be at the beginning.') }}\n {%- endif %}\n {%- elif message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- set reasoning_content = reasoning_content|trim %}\n {%- if reasoning_content %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {%- if loop.first %}\n {%- if content|trim %}\n {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- else %}\n {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- else %}\n {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- if tool_call.arguments is defined %}\n {%- for args_name, args_value in tool_call.arguments|items %}\n {{- '<parameter=' + args_name + '>\\n' }}\n {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}\n {{- args_value }}\n {{- '\\n</parameter>\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '</function>\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- elif loop.last %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- else %}\n {{- raise_exception('Unexpected message role.') }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- else %}\n {{- '<think>\\n' }}\n {%- endif %}\n{%- endif %}\n",
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