logitsml commited on
Commit
66fb79f
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1 Parent(s): 3dbf0be

make candidate browser artifacts downloadable

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LICENSES.md ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ # Artifact licenses and attribution
2
+
3
+ Licenses apply by component, not uniformly to this repository. Existing model cards, notices and provenance are retained.
4
+
5
+ - Model weights and tokenizer: see `MODEL-LICENSE.json`, `LICENSE.model` and `README.source.md` for the original license and attribution. Conversion changes the weight representation and runtime format; it does not replace the upstream terms.
6
+ - Polythetic-specific runtime modifications and core geometry: AGPL-3.0-only, included as `LICENSE.polythetic`. Third-party runtime components retain their own licenses. This upload preserves the original artifact/build metadata; it does not relicense upstream model weights.
7
+
8
+ Project source: https://github.com/a9lim/polythetic. Provider source and immutable revisions are recorded in the included artifact manifests.
MODEL-LICENSE.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "declaredIn": "README.md",
3
+ "licenseText": "LICENSE.model",
4
+ "licenseTextSource": "source-snapshot",
5
+ "schemaVersion": 1,
6
+ "spdx": "apache-2.0"
7
+ }
README.md ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: other
3
+ license_name: mixed-artifact-licenses
4
+ license_link: https://huggingface.co/logitsml/polythetic-web-qwen35-2b-base-candidate/blob/main/LICENSES.md
5
+ tags:
6
+ - polythetic
7
+ - webgpu
8
+ - mlc
9
+ - candidate
10
+ pipeline_tag: text-generation
11
+ ---
12
+
13
+ # Polythetic browser: qwen35-2b-base-candidate
14
+
15
+ This is a local browser build published as a candidate, not an install-ready signed-catalog release. Generation and repeat capture/replay smoke checks passed. A matched-quantization numerical reference and fresh production-runtime certification remain pending; this is not a numerical-parity claim.
16
+
17
+ ## Download
18
+
19
+ Download this repository from Files and versions, or use:
20
+
21
+ ```sh
22
+ hf download logitsml/polythetic-web-qwen35-2b-base-candidate --local-dir ./polythetic-web-qwen35-2b-base-candidate
23
+ ```
24
+
25
+ These are browser-runtime artifacts, not a standard Transformers checkpoint. Model weights, tokenizer files, WebAssembly runtime and provenance are included. Browser installation still requires a compatible runtime and signed catalog; public file availability alone does not enable the app download button.
26
+
27
+ ## Provenance
28
+
29
+ Source: [Qwen/Qwen3.5-2B-Base](https://huggingface.co/Qwen/Qwen3.5-2B-Base/tree/b1485b2fa6dfa1287294f269f5fb618e03d52d7c). Exact file hashes and source revision are in [UPLOAD-PROVENANCE.json](UPLOAD-PROVENANCE.json). The build contains converted weights and a custom instrumented WebAssembly library; it is not the original checkpoint.
30
+
31
+ See [LICENSES.md](LICENSES.md) for component-specific licenses.
README.source.md ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ license_link: https://huggingface.co/Qwen/Qwen3.5-2B-Base/blob/main/LICENSE
5
+ pipeline_tag: image-text-to-text
6
+ ---
7
+
8
+ # Qwen3.5-2B-Base
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+
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+ <img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
11
+
12
+ [![Qwen Chat](https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5)](https://chat.qwen.ai)
13
+
14
+ > [!Note]
15
+ > This repository contains model weights and configuration files for the pre-trained only model in the Hugging Face Transformers format.
16
+ >
17
+ > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, etc.
18
+ >
19
+ > The intended use cases are fine-tuning, in-context learning experiments, and other research or development purposes, not direct interaction.
20
+ > However, the control tokens, e.g., `<|im_start|>` and `<|im_end|>` were trained to allow efficient LoRA-style PEFT with the official chat template, mitigating the need to finetune embeddings, a significant optimization given Qwen3.5's larger vocabulary.
21
+
22
+
23
+ Over recent months, we have intensified our focus on developing foundation models that deliver exceptional utility and performance. Qwen3.5 represents a significant leap forward, integrating breakthroughs in multimodal learning, architectural efficiency, reinforcement learning scale, and global accessibility to empower developers and enterprises with unprecedented capability and efficiency.
24
+
25
+ ## Qwen3.5 Highlights
26
+
27
+ Qwen3.5 features the following enhancement:
28
+
29
+ - **Unified Vision-Language Foundation**: Early fusion training on multimodal tokens achieves cross-generational parity with Qwen3 and outperforms Qwen3-VL models across reasoning, coding, agents, and visual understanding benchmarks.
30
+
31
+ - **Efficient Hybrid Architecture**: Gated Delta Networks combined with sparse Mixture-of-Experts deliver high-throughput inference with minimal latency and cost overhead.
32
+
33
+ - **Scalable RL Generalization**: Reinforcement learning scaled across million-agent environments with progressively complex task distributions for robust real-world adaptability.
34
+
35
+ - **Global Linguistic Coverage**: Expanded support to 201 languages and dialects, enabling inclusive, worldwide deployment with nuanced cultural and regional understanding.
36
+
37
+ - **Next-Generation Training Infrastructure**: Near-100% multimodal training efficiency compared to text-only training and asynchronous RL frameworks supporting massive-scale agent scaffolds and environment orchestration.
38
+
39
+
40
+ For more details, please refer to our blog post [Qwen3.5](https://qwen.ai/blog?id=qwen3.5).
41
+
42
+
43
+ ## Model Overview
44
+
45
+ - Type: Causal Language Model with Vision Encoder
46
+ - Training Stage: Pre-training & Post-training
47
+ - Language Model
48
+ - Number of Parameters: 2B
49
+ - Hidden Dimension: 2048
50
+ - Token Embedding: 248320 (Padded)
51
+ - Number of Layers: 24
52
+ - Hidden Layout: 6 × (3 × (Gated DeltaNet → FFN) → 1 × (Gated Attention → FFN))
53
+ - Gated DeltaNet:
54
+ - Number of Linear Attention Heads: 16 for V and 16 for QK
55
+ - Head Dimension: 128
56
+ - Gated Attention:
57
+ - Number of Attention Heads: 8 for Q and 2 for KV
58
+ - Head Dimension: 256
59
+ - Rotary Position Embedding Dimension: 64
60
+ - Feed Forward Network:
61
+ - Intermediate Dimension: 6144
62
+ - LM Output: 248320 (Tied to token embedding)
63
+ - MTP: trained with multi-steps
64
+ - Context Length: 262,144 natively and extensible up to 1,010,000 tokens.
65
+
66
+ ### Citation
67
+
68
+ If you find our work helpful, feel free to give us a cite.
69
+
70
+ ```bibtex
71
+ @misc{qwen3.5,
72
+ title = {{Qwen3.5}: Towards Native Multimodal Agents},
73
+ author = {{Qwen Team}},
74
+ month = {February},
75
+ year = {2026},
76
+ url = {https://qwen.ai/blog?id=qwen3.5}
77
+ }
78
+ ```
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+ {
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+ "schemaVersion": 1,
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+ "status": "candidate-not-catalog-release",
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+ "quantization": "q4f16_1",
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+ "contextWindowSize": 2048,
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+ {
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284
+ "bos_token": null,
285
+ "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 loop.index0 > ns.last_query_index %}\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 true %}\n {{- '<think>\\n' }}\n {%- else %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
286
+ "clean_up_tokenization_spaces": false,
287
+ "eos_token": "<|endoftext|>",
288
+ "errors": "replace",
289
+ "model_max_length": 262144,
290
+ "pad_token": "<|endoftext|>",
291
+ "split_special_tokens": false,
292
+ "tokenizer_class": "Qwen2Tokenizer",
293
+ "unk_token": null,
294
+ "add_bos_token": false,
295
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
296
+ "extra_special_tokens": {
297
+ "audio_bos_token": "<|audio_start|>",
298
+ "audio_eos_token": "<|audio_end|>",
299
+ "audio_token": "<|audio_pad|>",
300
+ "image_token": "<|image_pad|>",
301
+ "video_token": "<|video_pad|>",
302
+ "vision_bos_token": "<|vision_start|>",
303
+ "vision_eos_token": "<|vision_end|>"
304
+ }
305
+ }
vocab.json ADDED
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