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.eval_results/aime_2026.yaml ADDED
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+ - dataset:
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+ id: MathArena/aime_2026
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+ task_id: MathArena/aime_2026
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+ value: 95.5
5
+ source:
6
+ url: https://huggingface.co/thinkingmachines/Inkling-Small
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+ name: Model Card
.eval_results/gpqa.yaml ADDED
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+ - dataset:
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+ id: Idavidrein/gpqa
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+ task_id: diamond
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+ value: 89.5
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+ source:
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+ url: https://huggingface.co/thinkingmachines/Inkling-Small
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+ name: Model Card
.eval_results/hle.yaml ADDED
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+ - dataset:
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+ id: cais/hle
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+ task_id: hle
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+ value: 31.6
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+ source:
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+ url: https://huggingface.co/thinkingmachines/Inkling-Small
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+ name: Model Card
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+ notes: text only
.eval_results/hmmt_feb_2026.yaml ADDED
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+ - dataset:
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+ id: MathArena/hmmt_feb_2026
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+ task_id: MathArena/hmmt_feb_2026
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+ value: 90.2
5
+ source:
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+ url: https://huggingface.co/thinkingmachines/Inkling-Small
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+ name: Model Card
.eval_results/mmmu_pro.yaml ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
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+ - dataset:
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+ id: MMMU/MMMU_Pro
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+ task_id: mmmu_pro_standard_10_options
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+ value: 74
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+ source:
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+ url: https://huggingface.co/thinkingmachines/Inkling-Small
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+ name: Model Card
.eval_results/swe-bench_pro.yaml ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
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+ - dataset:
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+ id: ScaleAI/SWE-bench_Pro
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+ task_id: SWE_Bench_Pro
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+ value: 55.9
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+ source:
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+ url: https://huggingface.co/thinkingmachines/Inkling-Small
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+ name: Model Card
.eval_results/swe-bench_verified.yaml ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
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+ - dataset:
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+ id: SWE-bench/SWE-bench_Verified
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+ task_id: swe_bench_%_resolved
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+ value: 80.2
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+ source:
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+ url: https://huggingface.co/thinkingmachines/Inkling-Small
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+ name: Model Card
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* 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
 
 
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
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,81 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: thinkingmachines/Inkling-Small
4
+ library_name: mlx
5
+ tags:
6
+ - mlx
7
+ - vision
8
+ - moe
9
+ pipeline_tag: image-text-to-text
10
+ ---
11
+
12
+ # ToPo-ToPo/Inkling-Small-mlx-2bit
13
+
14
+ MLX **2bit** conversion of [`thinkingmachines/Inkling-Small`](https://huggingface.co/thinkingmachines/Inkling-Small)
15
+ for Apple Silicon (mlx-vlm). 276B total / 12B active sparse MoE (42 layers, 256 routed experts top-6 + 2 shared),
16
+ text + image + audio in, text out.
17
+
18
+ See also: [`ToPo-ToPo/Inkling-Small-mlx-4bit`](https://huggingface.co/ToPo-ToPo/Inkling-Small-mlx-4bit).
19
+
20
+ ## Provenance (self-converted from official weights)
21
+ - Source: [`thinkingmachines/Inkling-Small`](https://huggingface.co/thinkingmachines/Inkling-Small) (license: apache-2.0, bf16, 531.9 GB)
22
+ - Tool: `mlx-vlm 0.6.7` — `mlx_vlm.convert --hf-path <staged> --mlx-path . -q --q-bits 2 --q-group-size 64`
23
+ - Effective: **2.506 bits/weight** (77 GiB on disk, ~83.5 GB peak RSS at inference)
24
+
25
+ ## Config translation (already applied here)
26
+
27
+ The official `config.json` cannot be loaded by `mlx-vlm` as published — its schema uses different key names
28
+ than `mlx_vlm.models.inkling` expects. This repo ships the translated config, so no action is needed:
29
+
30
+ | Key | Official | Here |
31
+ | --- | --- | --- |
32
+ | `model_type` | `inkling_mm_model` | `inkling` |
33
+ | `text_config.intermediate_size` | 2048 (expert width) | 16384 (dense width) |
34
+ | `text_config.moe_intermediate_size` | — (was `intermediate_size`) | 2048 |
35
+ | `vision_config.text_hidden_size` | `decoder_dmodel` | 4096 |
36
+ | `audio_config.text_hidden_size` | `decoder_dmodel` | 4096 |
37
+ | `vision_config.num_channels` | `n_channels` | 3 |
38
+ | `tokenizer_config.pad_token` / `eos_token` | unset | `<\|endoftext\|>` / `<\|content_model_end_sampling\|>` |
39
+
40
+ `image_token_id` / `audio_token_id` are left unset so that mlx-vlm's defaults (200054 / 200053) apply —
41
+ those are the placeholders `InklingProcessor` actually emits.
42
+
43
+ ## Loader shim (required)
44
+
45
+ `mlx-vlm` 0.6.7 and 0.6.8 need two patches at runtime for any Inkling checkpoint. Apply them before `load()`:
46
+
47
+ ```python
48
+ from mlx_vlm.models import inkling
49
+ from mlx_vlm.models.inkling import config as inkling_config
50
+ from mlx_vlm import prompt_utils
51
+
52
+ # 1. models/inkling does not re-export its sub-config classes, which the generic
53
+ # loader fetches with getattr -> AttributeError on load.
54
+ for name in ("TextConfig", "VisionConfig", "AudioConfig"):
55
+ setattr(inkling, name, getattr(inkling_config, name))
56
+
57
+ # 2. prompt_utils.MODEL_CONFIG has no "inkling" entry, so apply_chat_template treats
58
+ # the model as text-only and drops image/audio parts.
59
+ prompt_utils.MODEL_CONFIG.setdefault("inkling", prompt_utils.MessageFormat.LIST_WITH_IMAGE_FIRST)
60
+ ```
61
+
62
+ When serving over `mlx_vlm.server`, also add Inkling's structural tokens to
63
+ `mlx_vlm.server.responses_state._CONTENT_MARKERS` (`<|message_model|>`, `<|content_text|>`,
64
+ `<|end_message|>`) and set `MLX_VLM_THINKING_START_TOKEN=<|content_thinking|>` /
65
+ `MLX_VLM_THINKING_END_TOKEN=<|end_message|>`, so the reasoning channel and those markers do not
66
+ end up in `content`.
67
+
68
+ ## Reasoning effort
69
+
70
+ The chat template always injects a `Thinking effort level:` system message (default **0.9**). Control it
71
+ with the OpenAI-compatible `reasoning_effort` — `"none"` / `"minimal"` / `"low"` / `"medium"` / `"high"` /
72
+ `"max"`, or a float in `[0.0, 0.99]`. `"none"` disables thinking entirely.
73
+
74
+ ## Usage
75
+
76
+ ```python
77
+ from mlx_vlm import load, generate
78
+ model, processor = load("ToPo-ToPo/Inkling-Small-mlx-2bit") # apply the shim above first
79
+ ```
80
+
81
+ The first load reads 77 GiB, so allow a few minutes and raise any client-side startup timeouts accordingly.
chat_template.jinja ADDED
@@ -0,0 +1,129 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {%- set effort_map = {"none": 0.0, "minimal": 0.1, "low": 0.2, "medium": 0.7, "high": 0.9, "max": 0.99} -%}
2
+ {%- set role_token = {"user": "<|message_user|>", "assistant": "<|message_model|>", "system": "<|message_system|>", "tool": "<|message_tool|>"} -%}
3
+
4
+ {%- macro emit_thinking_effort() -%}
5
+ {%- set eff = reasoning_effort if reasoning_effort is defined and reasoning_effort is not none else 0.9 -%}
6
+ {%- if eff is string -%}
7
+ {%- set key = eff | trim -%}
8
+ {%- if key not in effort_map -%}
9
+ {{- raise_exception("Unknown reasoning_effort: " ~ eff) -}}
10
+ {%- endif -%}
11
+ {%- set num = effort_map[key] -%}
12
+ {%- else -%}
13
+ {%- set num = eff | float -%}
14
+ {%- endif -%}
15
+ {%- if num < 0.0 or num > 0.99 -%}
16
+ {{- raise_exception("reasoning_effort must be in [0.0, 0.99]") -}}
17
+ {%- endif -%}
18
+ {{- "<|message_system|><|content_text|>Thinking effort level: " -}}
19
+ {%- if num == 0.0 -%}0{%- else -%}{{ num }}{%- endif -%}
20
+ {{- "<|end_message|>" -}}
21
+ {%- endmacro -%}
22
+
23
+ {%- if tools -%}
24
+ {%- set tool_state = namespace(specs=[]) -%}
25
+ {%- for tool in tools -%}
26
+ {%- set fn = tool.function if tool.function is defined else tool -%}
27
+ {%- set spec = {
28
+ "description": (fn.description if fn.description is defined and fn.description else ""),
29
+ "name": fn.name,
30
+ "parameters": (fn.parameters if fn.parameters is defined and fn.parameters else {}),
31
+ "type": (tool.type if tool.type is defined and tool.type else "function"),
32
+ } -%}
33
+ {%- set tool_state.specs = tool_state.specs + [spec] -%}
34
+ {%- endfor -%}
35
+ {{- "<|message_system|>tool_declare<|content_xml|>" -}}
36
+ {{- tool_state.specs | tojson(sort_keys=true, separators=(",", ":")) -}}
37
+ {{- "<|end_message|>" -}}
38
+ {%- endif -%}
39
+
40
+ {%- set state = namespace(effort_emitted=false) -%}
41
+ {%- for message in messages -%}
42
+ {%- if message.role not in role_token -%}
43
+ {{- raise_exception("Unknown message role: " ~ message.role) -}}
44
+ {%- endif -%}
45
+ {%- if not state.effort_emitted and message.role != "system" -%}
46
+ {{- emit_thinking_effort() -}}
47
+ {%- set state.effort_emitted = true -%}
48
+ {%- endif -%}
49
+
50
+ {%- set rtok = role_token[message.role] -%}
51
+
52
+ {%- if message.role == "tool" -%}
53
+ {%- set tool_name_state = namespace(name="") -%}
54
+ {%- if message.name is defined and message.name -%}
55
+ {%- set tool_name_state.name = message.name -%}
56
+ {%- elif message.tool_call_id is defined and message.tool_call_id -%}
57
+ {%- for prev in messages -%}
58
+ {%- if prev.role == "assistant" and prev.tool_calls -%}
59
+ {%- for tc in prev.tool_calls -%}
60
+ {%- if tc.id is defined and tc.id == message.tool_call_id and tc.function.name is defined -%}
61
+ {%- set tool_name_state.name = tc.function.name -%}
62
+ {%- endif -%}
63
+ {%- endfor -%}
64
+ {%- endif -%}
65
+ {%- endfor -%}
66
+ {%- endif -%}
67
+ {{- rtok -}}
68
+ {%- if tool_name_state.name -%}{{- tool_name_state.name -}}{%- endif -%}
69
+ {{- "<|content_text|>" -}}
70
+ {%- if message.content is string -%}{{- message.content -}}{%- endif -%}
71
+ {{- "<|end_message|>" -}}
72
+
73
+ {%- else -%}
74
+ {%- if message.role == "assistant" and message.reasoning_content is defined and message.reasoning_content -%}
75
+ {{- "<|message_model|><|content_thinking|>" ~ message.reasoning_content ~ "<|end_message|>" -}}
76
+ {%- endif -%}
77
+
78
+ {%- if message.content is string -%}
79
+ {{- rtok ~ "<|content_text|>" ~ message.content ~ "<|end_message|>" -}}
80
+ {%- elif message.content -%}
81
+ {%- for part in message.content -%}
82
+ {%- if part is string -%}
83
+ {{- rtok ~ "<|content_text|>" ~ part ~ "<|end_message|>" -}}
84
+ {%- elif part.type is not defined or part.type in ("text", "input_text") -%}
85
+ {%- set text_part = (part.text if part.text is defined and part.text is string else "") -%}
86
+ {{- rtok ~ "<|content_text|>" ~ text_part ~ "<|end_message|>" -}}
87
+ {%- elif part.type in ("image", "input_image", "image_url") -%}
88
+ {{- rtok ~ "<|content_image|><|unused_200054|><|end_message|>" -}}
89
+ {%- elif part.type in ("audio", "input_audio", "audio_url") -%}
90
+ {{- rtok ~ "<|content_audio_input|><|unused_200053|><|audio_end|><|end_message|>" -}}
91
+ {%- else -%}
92
+ {{- raise_exception("Unsupported content part type: " ~ part.type) -}}
93
+ {%- endif -%}
94
+ {%- endfor -%}
95
+ {%- endif -%}
96
+
97
+ {%- if message.role == "assistant" and message.tool_calls -%}
98
+ {%- for tc in message.tool_calls -%}
99
+ {%- set fn = tc.function -%}
100
+ {%- if fn.name is not defined or fn.name is not string -%}
101
+ {{- raise_exception("tool call function name must be a string") -}}
102
+ {%- endif -%}
103
+ {%- set args = fn.arguments if fn.arguments is defined and fn.arguments else {} -%}
104
+ {%- if args is string -%}
105
+ {{- raise_exception("tool call arguments must be a parsed object, not a JSON string; canonicalize upstream") -}}
106
+ {%- endif -%}
107
+ {%- if args is not mapping -%}
108
+ {{- raise_exception("tool call arguments must be an object") -}}
109
+ {%- endif -%}
110
+ {{- "<|message_model|>" ~ fn.name ~ "<|content_invoke_tool_json|>" -}}
111
+ {{- '{"name":' ~ (fn.name | tojson(sort_keys=true, separators=(",", ":"))) ~ ',"args":' -}}
112
+ {{- (args | tojson(sort_keys=true, separators=(",", ":"))) -}}
113
+ {{- "}<|end_message|>" -}}
114
+ {%- endfor -%}
115
+ {%- endif -%}
116
+
117
+ {%- if message.role == "assistant" -%}
118
+ {{- "<|content_model_end_sampling|>" -}}
119
+ {%- endif -%}
120
+ {%- endif -%}
121
+ {%- endfor -%}
122
+
123
+ {%- if not state.effort_emitted -%}
124
+ {{- emit_thinking_effort() -}}
125
+ {%- endif -%}
126
+
127
+ {%- if add_generation_prompt -%}
128
+ {{- "<|message_model|>" -}}
129
+ {%- endif -%}
config.json ADDED
@@ -0,0 +1,124 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "InklingForConditionalGeneration"
4
+ ],
5
+ "audio_config": {
6
+ "n_mel_bins": 80,
7
+ "mel_vocab_size": 16,
8
+ "bias": false,
9
+ "dmel_min_value": -7.0,
10
+ "dmel_max_value": 2.0,
11
+ "use_audio_norm": true,
12
+ "audio_mode": "dmel",
13
+ "text_hidden_size": 4096
14
+ },
15
+ "eos_token_id": 200006,
16
+ "model_type": "inkling",
17
+ "mtp_config": {
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+ "num_nextn_predict_layers": 8,
19
+ "chain_hidden_post_norm": false,
20
+ "local_layer_ids": [
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+ 0,
22
+ 2,
23
+ 4,
24
+ 5,
25
+ 6,
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+ 7
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+ ]
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+ },
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+ "quantization": {
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+ "group_size": 64,
31
+ "bits": 2,
32
+ "mode": "affine"
33
+ },
34
+ "quantization_config": {
35
+ "group_size": 64,
36
+ "bits": 2,
37
+ "mode": "affine"
38
+ },
39
+ "text_config": {
40
+ "model_max_length": 1048576,
41
+ "torch_dtype": "bfloat16",
42
+ "hidden_size": 4096,
43
+ "num_hidden_layers": 42,
44
+ "vocab_size": 201024,
45
+ "num_attention_heads": 32,
46
+ "num_key_value_heads": 8,
47
+ "head_dim": 128,
48
+ "d_rel": 16,
49
+ "rel_extent": 1024,
50
+ "q_bias": false,
51
+ "o_bias": false,
52
+ "log_scaling_n_floor": 128000,
53
+ "log_scaling_alpha": 0.1,
54
+ "rms_norm_eps": 1e-06,
55
+ "use_embed_norm": true,
56
+ "local_layer_ids": [
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+ 0,
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+ 1,
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+ 2,
60
+ 3,
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+ 4,
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+ 6,
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+ 7,
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+ 8,
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+ 9,
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+ 10,
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+ 12,
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+ 13,
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+ 14,
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+ 15,
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+ 16,
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+ 18,
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+ 33,
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+ 34,
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+ 36,
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+ 37,
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+ 38,
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+ 39,
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+ 40
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+ ],
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+ "dense_mlp_idx": 2,
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+ "use_sconv": true,
95
+ "sconv_kernel_size": 4,
96
+ "unpadded_vocab_size": 200058,
97
+ "logits_mup_width_multiplier": 16.0,
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+ "final_logit_softcapping": null,
99
+ "swa_head_dim": 128,
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+ "swa_num_attention_heads": 32,
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+ "swa_num_key_value_heads": 8,
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+ "sliding_window_size": 512,
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+ "n_routed_experts": 256,
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+ "num_experts_per_tok": 6,
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+ "n_shared_experts": 2,
106
+ "shared_expert_sink": true,
107
+ "intermediate_size": 16384,
108
+ "route_scale": 8.0,
109
+ "use_gate_bias": true,
110
+ "gate_activation": "sigmoid",
111
+ "norm_after_topk": true,
112
+ "use_global_scale": true,
113
+ "moe_intermediate_size": 2048
114
+ },
115
+ "vision_config": {
116
+ "vision_encoder_type": "hmlp",
117
+ "patch_size": 40,
118
+ "temporal_patch_size": 2,
119
+ "n_layers": 4,
120
+ "use_vision_norm": true,
121
+ "num_channels": 3,
122
+ "text_hidden_size": 4096
123
+ }
124
+ }
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