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Agents-A1-bf16

Image-Text-to-Text
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qwen3_5_moe
vision-language
Mixture of Experts
agent
conversational
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 Community
gabfssilva commited on
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Add Agents-A1 MLX bf16 (full-precision conversion)

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Files changed (24) hide show
  1. .gitattributes +1 -0
  2. README.md +69 -0
  3. chat_template.jinja +154 -0
  4. config.json +115 -0
  5. model-00001-of-00014.safetensors +3 -0
  6. model-00002-of-00014.safetensors +3 -0
  7. model-00003-of-00014.safetensors +3 -0
  8. model-00004-of-00014.safetensors +3 -0
  9. model-00005-of-00014.safetensors +3 -0
  10. model-00006-of-00014.safetensors +3 -0
  11. model-00007-of-00014.safetensors +3 -0
  12. model-00008-of-00014.safetensors +3 -0
  13. model-00009-of-00014.safetensors +3 -0
  14. model-00010-of-00014.safetensors +3 -0
  15. model-00011-of-00014.safetensors +3 -0
  16. model-00012-of-00014.safetensors +3 -0
  17. model-00013-of-00014.safetensors +3 -0
  18. model-00014-of-00014.safetensors +3 -0
  19. model.safetensors.index.json +0 -0
  20. preprocessor_config.json +21 -0
  21. processor_config.json +50 -0
  22. tokenizer.json +3 -0
  23. tokenizer_config.json +33 -0
  24. video_preprocessor_config.json +21 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: InternScience/Agents-A1
3
+ library_name: mlx
4
+ pipeline_tag: image-text-to-text
5
+ license: apache-2.0
6
+ tags:
7
+ - mlx
8
+ - vision-language
9
+ - moe
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+ - agent
11
+ ---
12
+
13
+ # Agents-A1 — MLX (bf16)
14
+
15
+ [MLX](https://github.com/ml-explore/mlx) conversion of
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+ [InternScience/Agents-A1](https://huggingface.co/InternScience/Agents-A1), in **bf16**.
17
+ The source checkpoint is already bf16, so this is a lossless format conversion — not a quantization.
18
+
19
+ Agents-A1 is a Qwen3.5-MoE **vision-language** agent model (`qwen3_5_moe`,
20
+ `Qwen3_5MoeForConditionalGeneration`): 40 decoder layers, 256 routed experts per layer + a shared
21
+ expert, hidden size 2048, with a vision tower and video preprocessing. ~65 GB on disk in bf16.
22
+
23
+ ## Running it
24
+
25
+ Multimodal (VLM) — load with **mlx-vlm** (mlx-lm can't load multimodal architectures):
26
+
27
+ ```bash
28
+ pip install mlx-vlm
29
+ python -m mlx_vlm.generate --model mlx-community/Agents-A1-bf16 \
30
+ --prompt "What is 17 * 24? Think step by step." --max-tokens 512
31
+ # with an image:
32
+ python -m mlx_vlm.generate --model mlx-community/Agents-A1-bf16 --image img.jpg --prompt "Describe this image."
33
+ ```
34
+
35
+ Loads and runs in **stock mlx-vlm** — no patched code needed at inference.
36
+
37
+ ## Conversion notes
38
+
39
+ Upstream ships its MoE experts **unfused / per-expert**
40
+ (`...mlp.experts.{i}.{gate,up,down}_proj.weight`, 256 experts × 40 layers). mlx-vlm's stock
41
+ `qwen3_5_moe` converter expects the **fused** layout (`experts.gate_up_proj`) of the official
42
+ Qwen3.5 release, so it fails on this checkpoint with `KeyError: ...experts.gate_up_proj`.
43
+
44
+ This build was produced by patching mlx-vlm's `sanitize()` to stack the per-expert tensors into the
45
+ batched `switch_mlp.{gate,up,down}_proj` layout MLX uses (the same transform mlx-lm applies to
46
+ Qwen3-MoE). The patch is **conversion-only** — the published weights are standard MLX.
47
+
48
+ ## Smoke test
49
+
50
+ `"What is 17 * 24? Think step by step…"` → correct (`408`), coherent, no repetition.
51
+
52
+ | Metric | Value |
53
+ |---|---|
54
+ | Precision | bf16 (full) |
55
+ | Size on disk | ~65 GB |
56
+ | Peak RAM | 70.3 GB |
57
+ | Generation | 70.3 tok/s |
58
+ | Hardware | Macbook Pro M5 Max 128GB 40 GPU |
59
+
60
+ Throughput is from the coherence smoke test, not a full benchmark. Needs ~72 GB unified memory —
61
+ an Apple Silicon Mac with **96 GB+** is recommended.
62
+
63
+ ## Lower-memory (quantized) MLX builds
64
+
65
+ If bf16 is too large: `georgeis55/Agents-A1-mlx-oQ8`, `leonsarmiento/Agents-A1-6bit-XL-mlx`.
66
+
67
+ ## License
68
+
69
+ apache-2.0, inherited from the base model.
chat_template.jinja ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- set image_count = namespace(value=0) %}
2
+ {%- set video_count = namespace(value=0) %}
3
+ {%- macro render_content(content, do_vision_count, is_system_content=false) %}
4
+ {%- if content is string %}
5
+ {{- content }}
6
+ {%- elif content is iterable and content is not mapping %}
7
+ {%- for item in content %}
8
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
+ {%- if is_system_content %}
10
+ {{- raise_exception('System message cannot contain images.') }}
11
+ {%- endif %}
12
+ {%- if do_vision_count %}
13
+ {%- set image_count.value = image_count.value + 1 %}
14
+ {%- endif %}
15
+ {%- if add_vision_id %}
16
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
17
+ {%- endif %}
18
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
19
+ {%- elif 'video' in item or item.type == 'video' %}
20
+ {%- if is_system_content %}
21
+ {{- raise_exception('System message cannot contain videos.') }}
22
+ {%- endif %}
23
+ {%- if do_vision_count %}
24
+ {%- set video_count.value = video_count.value + 1 %}
25
+ {%- endif %}
26
+ {%- if add_vision_id %}
27
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
28
+ {%- endif %}
29
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
30
+ {%- elif 'text' in item %}
31
+ {{- item.text }}
32
+ {%- else %}
33
+ {{- raise_exception('Unexpected item type in content.') }}
34
+ {%- endif %}
35
+ {%- endfor %}
36
+ {%- elif content is none or content is undefined %}
37
+ {{- '' }}
38
+ {%- else %}
39
+ {{- raise_exception('Unexpected content type.') }}
40
+ {%- endif %}
41
+ {%- endmacro %}
42
+ {%- if not messages %}
43
+ {{- raise_exception('No messages provided.') }}
44
+ {%- endif %}
45
+ {%- if tools and tools is iterable and tools is not mapping %}
46
+ {{- '<|im_start|>system\n' }}
47
+ {{- "# 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' %}
55
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
56
+ {%- if content %}
57
+ {{- '\n\n' + content }}
58
+ {%- endif %}
59
+ {%- endif %}
60
+ {{- '<|im_end|>\n' }}
61
+ {%- else %}
62
+ {%- if messages[0].role == 'system' %}
63
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
64
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
65
+ {%- endif %}
66
+ {%- endif %}
67
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
68
+ {%- for message in messages[::-1] %}
69
+ {%- set index = (messages|length - 1) - loop.index0 %}
70
+ {%- if ns.multi_step_tool and message.role == "user" %}
71
+ {%- set content = render_content(message.content, false)|trim %}
72
+ {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
73
+ {%- set ns.multi_step_tool = false %}
74
+ {%- set ns.last_query_index = index %}
75
+ {%- endif %}
76
+ {%- endif %}
77
+ {%- endfor %}
78
+ {%- if ns.multi_step_tool %}
79
+ {{- raise_exception('No user query found in messages.') }}
80
+ {%- endif %}
81
+ {%- for message in messages %}
82
+ {%- set content = render_content(message.content, true)|trim %}
83
+ {%- if message.role == "system" %}
84
+ {%- if not loop.first %}
85
+ {{- raise_exception('System message must be at the beginning.') }}
86
+ {%- endif %}
87
+ {%- elif message.role == "user" %}
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 %}
93
+ {%- else %}
94
+ {%- 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') %}
97
+ {%- endif %}
98
+ {%- endif %}
99
+ {%- set reasoning_content = reasoning_content|trim %}
100
+ {%- if loop.index0 > ns.last_query_index %}
101
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
102
+ {%- else %}
103
+ {{- '<|im_start|>' + message.role + '\n' + content }}
104
+ {%- endif %}
105
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
106
+ {%- for tool_call in message.tool_calls %}
107
+ {%- if tool_call.function is defined %}
108
+ {%- set tool_call = tool_call.function %}
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+ {%- endif %}
110
+ {%- if loop.first %}
111
+ {%- if content|trim %}
112
+ {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
113
+ {%- else %}
114
+ {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
115
+ {%- endif %}
116
+ {%- else %}
117
+ {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
118
+ {%- endif %}
119
+ {%- if tool_call.arguments is defined %}
120
+ {%- for args_name, args_value in tool_call.arguments|items %}
121
+ {{- '<parameter=' + args_name + '>\n' }}
122
+ {%- 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 %}
123
+ {{- args_value }}
124
+ {{- '\n</parameter>\n' }}
125
+ {%- endfor %}
126
+ {%- endif %}
127
+ {{- '</function>\n</tool_call>' }}
128
+ {%- endfor %}
129
+ {%- endif %}
130
+ {{- '<|im_end|>\n' }}
131
+ {%- elif message.role == "tool" %}
132
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
133
+ {{- '<|im_start|>user' }}
134
+ {%- endif %}
135
+ {{- '\n<tool_response>\n' }}
136
+ {{- content }}
137
+ {{- '\n</tool_response>' }}
138
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
139
+ {{- '<|im_end|>\n' }}
140
+ {%- elif loop.last %}
141
+ {{- '<|im_end|>\n' }}
142
+ {%- endif %}
143
+ {%- else %}
144
+ {{- raise_exception('Unexpected message role.') }}
145
+ {%- endif %}
146
+ {%- endfor %}
147
+ {%- if add_generation_prompt %}
148
+ {{- '<|im_start|>assistant\n' }}
149
+ {%- if enable_thinking is defined and enable_thinking is false %}
150
+ {{- '<think>\n\n</think>\n\n' }}
151
+ {%- else %}
152
+ {{- '<think>\n' }}
153
+ {%- endif %}
154
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,115 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "architectures": [
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+ "Qwen3_5MoeForConditionalGeneration"
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+ ],
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+ "image_token_id": 248056,
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+ "model_type": "qwen3_5_moe",
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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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+ "full_attention_interval": 4,
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+ "head_dim": 256,
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+ "hidden_act": "silu",
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+ "hidden_size": 2048,
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+ "initializer_range": 0.02,
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+ "layer_types": [
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+ "linear_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "full_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "full_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "full_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "full_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "full_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "full_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "full_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "full_attention",
51
+ "linear_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "full_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "linear_attention",
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+ "full_attention"
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+ ],
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+ "linear_conv_kernel_dim": 4,
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+ "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,
65
+ "max_position_embeddings": 262144,
66
+ "mlp_only_layers": [],
67
+ "model_type": "qwen3_5_moe_text",
68
+ "moe_intermediate_size": 512,
69
+ "mtp_num_hidden_layers": 1,
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+ "mtp_use_dedicated_embeddings": false,
71
+ "num_attention_heads": 16,
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+ "num_experts": 256,
73
+ "num_experts_per_tok": 8,
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+ "num_hidden_layers": 40,
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+ "num_key_value_heads": 2,
76
+ "rms_norm_eps": 1e-06,
77
+ "router_aux_loss_coef": 0.001,
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+ "shared_expert_intermediate_size": 512,
79
+ "use_cache": true,
80
+ "vocab_size": 248320,
81
+ "mamba_ssm_dtype": "float32",
82
+ "rope_parameters": {
83
+ "mrope_interleaved": true,
84
+ "mrope_section": [
85
+ 11,
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+ 11,
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+ 10
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+ ],
89
+ "rope_type": "default",
90
+ "rope_theta": 10000000,
91
+ "partial_rotary_factor": 0.25
92
+ }
93
+ },
94
+ "tie_word_embeddings": false,
95
+ "transformers_version": "4.57.0.dev0",
96
+ "video_token_id": 248057,
97
+ "vision_config": {
98
+ "deepstack_visual_indexes": [],
99
+ "depth": 27,
100
+ "hidden_act": "gelu_pytorch_tanh",
101
+ "hidden_size": 1152,
102
+ "in_channels": 3,
103
+ "initializer_range": 0.02,
104
+ "intermediate_size": 4304,
105
+ "model_type": "qwen3_5_moe",
106
+ "num_heads": 16,
107
+ "num_position_embeddings": 2304,
108
+ "out_hidden_size": 2048,
109
+ "patch_size": 16,
110
+ "spatial_merge_size": 2,
111
+ "temporal_patch_size": 2
112
+ },
113
+ "vision_end_token_id": 248054,
114
+ "vision_start_token_id": 248053
115
+ }
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