Publish selected local AdamW 4B SFT step12588, merged BF16 plus original LoRA
Browse filesReplace the previous Muon root export with the explicitly selected AdamW checkpoint. Preserve original adapter, exact base revision, training metadata and merge validation. Remove obsolete monolithic model.safetensors so it cannot override the new shards.
- LICENSE +201 -201
- README.md +71 -22
- adapter/adapter_config.json +51 -0
- model.safetensors → adapter/adapter_model.safetensors +2 -2
- adapter/chat_template.jinja +154 -0
- adapter/processor_config.json +60 -0
- adapter/tokenizer.json +3 -0
- adapter/tokenizer_config.json +34 -0
- config.json +2 -6
- generation_config.json +2 -4
- merge_validation.json +32 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +731 -0
- training_summary.json +29 -0
- upload_manifest.json +79 -18
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|
| 190 |
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Copyright 2026 Alibaba Cloud
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|
| 192 |
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Licensed under the Apache License, Version 2.0 (the "License");
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You may obtain a copy of the License at
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Unless required by applicable law or agreed to in writing, software
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|
README.md
CHANGED
|
@@ -1,43 +1,92 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
-
base_model: Qwen/Qwen3.5-4B
|
| 4 |
library_name: transformers
|
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|
| 5 |
tags:
|
| 6 |
-
- designcoder
|
| 7 |
-
-
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| 8 |
-
-
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| 9 |
-
-
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|
| 10 |
---
|
| 11 |
|
| 12 |
-
# DesignCoder 4B —
|
| 13 |
|
| 14 |
-
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|
| 15 |
|
| 16 |
-
This
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|
| 17 |
|
| 18 |
-
##
|
| 19 |
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| 20 |
-
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| 21 |
-
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| 22 |
-
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-
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| 26 |
-
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|
| 27 |
|
| 28 |
-
|
|
|
|
|
|
|
| 29 |
|
| 30 |
```python
|
| 31 |
-
import
|
| 32 |
-
from transformers import AutoModelForImageTextToText, AutoProcessor
|
| 33 |
|
| 34 |
model_id = "chjdl1816/designcoder-mc"
|
| 35 |
-
|
| 36 |
-
model =
|
| 37 |
-
model_id, dtype=
|
|
|
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|
| 38 |
)
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|
| 39 |
```
|
| 40 |
|
| 41 |
-
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|
| 42 |
|
| 43 |
-
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
|
|
|
| 3 |
library_name: transformers
|
| 4 |
+
base_model: Qwen/Qwen3.5-4B
|
| 5 |
+
pipeline_tag: image-text-to-text
|
| 6 |
tags:
|
| 7 |
+
- designcoder
|
| 8 |
+
- qwen3_5
|
| 9 |
+
- sft
|
| 10 |
+
- lora
|
| 11 |
+
- merged
|
| 12 |
+
- web-design
|
| 13 |
---
|
| 14 |
|
| 15 |
+
# DesignCoder 4B — AdamW SFT, step 12588
|
| 16 |
|
| 17 |
+
This repository contains the **merged BF16 model** from a locally trained
|
| 18 |
+
Qwen3.5-4B LoRA SFT checkpoint, `qwen35-4b-design/lora-r64-sft/checkpoint-12588`.
|
| 19 |
+
The root directory is a complete Hugging Face model export; loading it does not
|
| 20 |
+
require PEFT or a separate base-model download.
|
| 21 |
|
| 22 |
+
This is the AdamW checkpoint selected for DesignCoder RL initialization. It is
|
| 23 |
+
an SFT model, not an RL-trained checkpoint. It replaces the previously uploaded
|
| 24 |
+
Muon step1900 model on the main branch; that version remains in repository history.
|
| 25 |
|
| 26 |
+
## Source and training
|
| 27 |
|
| 28 |
+
| Item | Value |
|
| 29 |
+
| --- | --- |
|
| 30 |
+
| Base | [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B/tree/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a) |
|
| 31 |
+
| Base revision | `851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a` |
|
| 32 |
+
| Optimizer | `adamw_torch` |
|
| 33 |
+
| Checkpoint | step 12588, 2 epochs |
|
| 34 |
+
| Dataset identifier | `design_sft_sharegpt_with_think` |
|
| 35 |
+
| LoRA | rank 64, alpha 128, dropout 0.05 |
|
| 36 |
+
| Learning rate | `1e-4`, cosine schedule, warmup ratio 0.03 |
|
| 37 |
+
| Training batch | 1 per device, 8 accumulation steps, effective batch 8 |
|
| 38 |
+
| Training cutoff | 16384 tokens |
|
| 39 |
+
| Export | FP32 LoRA merge with `safe_merge=True`, then BF16 safetensors |
|
| 40 |
|
| 41 |
+
The tokenizer, processor configuration and chat template are copied from the
|
| 42 |
+
selected training checkpoint. The vocabulary matches the base model. Standard
|
| 43 |
+
Transformers loading omits the base checkpoint's auxiliary MTP tensors, which
|
| 44 |
+
are not used by `Qwen3_5ForConditionalGeneration`.
|
| 45 |
|
| 46 |
+
The original adapter weights are also included under [`adapter/`](adapter/).
|
| 47 |
+
Their SHA256 is
|
| 48 |
+
`7d8305739df470c3d7906241a14ae37b342e1ba61f34b3d0341e69b97f85f12b`.
|
| 49 |
+
The adapter config uses the public base-model ID and pinned revision instead of
|
| 50 |
+
the original local filesystem path. Do not apply this adapter to the already
|
| 51 |
+
merged model at the repository root.
|
| 52 |
|
| 53 |
+
## Load the merged model
|
| 54 |
+
|
| 55 |
+
The export was checked with Transformers 5.8.0, PEFT 0.18.1 and PyTorch 2.6.0.
|
| 56 |
|
| 57 |
```python
|
| 58 |
+
from transformers import AutoTokenizer, Qwen3_5ForConditionalGeneration
|
|
|
|
| 59 |
|
| 60 |
model_id = "chjdl1816/designcoder-mc"
|
| 61 |
+
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
| 62 |
+
model = Qwen3_5ForConditionalGeneration.from_pretrained(
|
| 63 |
+
model_id, dtype="auto", device_map="auto"
|
| 64 |
+
)
|
| 65 |
+
messages = [{"role": "user", "content": "Build a minimal portfolio homepage."}]
|
| 66 |
+
text = tokenizer.apply_chat_template(
|
| 67 |
+
messages, tokenize=False, add_generation_prompt=True, enable_thinking=True
|
| 68 |
)
|
| 69 |
+
inputs = tokenizer(text, return_tensors="pt").to(model.device)
|
| 70 |
+
output = model.generate(**inputs, max_new_tokens=1024)
|
| 71 |
+
print(tokenizer.decode(output[0, inputs.input_ids.shape[1]:], skip_special_tokens=True))
|
| 72 |
```
|
| 73 |
|
| 74 |
+
For reproducible training, pin the repository commit when downloading.
|
| 75 |
+
|
| 76 |
+
## Validation and artifacts
|
| 77 |
+
|
| 78 |
+
- All source adapter tensors were compared against their loaded values.
|
| 79 |
+
- FP32 inference before and after the LoRA merge was compared on a short text prompt.
|
| 80 |
+
- The BF16 export was reloaded and its logits were checked for exact equality
|
| 81 |
+
with the in-memory BF16 model on that prompt.
|
| 82 |
+
- Tokenizer, processor and model configuration loading were checked.
|
| 83 |
+
- [`merge_validation.json`](merge_validation.json) contains the numerical results;
|
| 84 |
+
[`training_summary.json`](training_summary.json) records training metadata;
|
| 85 |
+
[`upload_manifest.json`](upload_manifest.json) records source and artifact hashes.
|
| 86 |
+
|
| 87 |
+
These checks validate export integrity. No new benchmark, GPU inference or
|
| 88 |
+
vLLM end-to-end RL evaluation was performed for this upload.
|
| 89 |
+
|
| 90 |
+
## License
|
| 91 |
|
| 92 |
+
Apache-2.0, following the Qwen3.5-4B base model. See [LICENSE](LICENSE).
|
adapter/adapter_config.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen3.5-4B",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 128,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 64,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"down_proj",
|
| 33 |
+
"up_proj",
|
| 34 |
+
"o_proj",
|
| 35 |
+
"in_proj_z",
|
| 36 |
+
"in_proj_a",
|
| 37 |
+
"v_proj",
|
| 38 |
+
"gate_proj",
|
| 39 |
+
"k_proj",
|
| 40 |
+
"in_proj_qkv",
|
| 41 |
+
"q_proj",
|
| 42 |
+
"out_proj",
|
| 43 |
+
"in_proj_b"
|
| 44 |
+
],
|
| 45 |
+
"target_parameters": null,
|
| 46 |
+
"task_type": "CAUSAL_LM",
|
| 47 |
+
"trainable_token_indices": null,
|
| 48 |
+
"use_dora": false,
|
| 49 |
+
"use_qalora": false,
|
| 50 |
+
"use_rslora": false
|
| 51 |
+
}
|
model.safetensors → adapter/adapter_model.safetensors
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7d8305739df470c3d7906241a14ae37b342e1ba61f34b3d0341e69b97f85f12b
|
| 3 |
+
size 519513832
|
adapter/chat_template.jinja
ADDED
|
@@ -0,0 +1,154 @@
|
|
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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 |
+
{%- 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 %}
|
| 109 |
+
{%- 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 %}
|
adapter/processor_config.json
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.5,
|
| 9 |
+
0.5,
|
| 10 |
+
0.5
|
| 11 |
+
],
|
| 12 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 13 |
+
"image_std": [
|
| 14 |
+
0.5,
|
| 15 |
+
0.5,
|
| 16 |
+
0.5
|
| 17 |
+
],
|
| 18 |
+
"merge_size": 2,
|
| 19 |
+
"patch_size": 16,
|
| 20 |
+
"resample": 3,
|
| 21 |
+
"rescale_factor": 0.00392156862745098,
|
| 22 |
+
"size": {
|
| 23 |
+
"longest_edge": 16777216,
|
| 24 |
+
"shortest_edge": 65536
|
| 25 |
+
},
|
| 26 |
+
"temporal_patch_size": 2
|
| 27 |
+
},
|
| 28 |
+
"processor_class": "Qwen3VLProcessor",
|
| 29 |
+
"video_processor": {
|
| 30 |
+
"do_convert_rgb": true,
|
| 31 |
+
"do_normalize": true,
|
| 32 |
+
"do_rescale": true,
|
| 33 |
+
"do_resize": true,
|
| 34 |
+
"do_sample_frames": true,
|
| 35 |
+
"fps": 2,
|
| 36 |
+
"image_mean": [
|
| 37 |
+
0.5,
|
| 38 |
+
0.5,
|
| 39 |
+
0.5
|
| 40 |
+
],
|
| 41 |
+
"image_std": [
|
| 42 |
+
0.5,
|
| 43 |
+
0.5,
|
| 44 |
+
0.5
|
| 45 |
+
],
|
| 46 |
+
"max_frames": 768,
|
| 47 |
+
"merge_size": 2,
|
| 48 |
+
"min_frames": 4,
|
| 49 |
+
"patch_size": 16,
|
| 50 |
+
"resample": 3,
|
| 51 |
+
"rescale_factor": 0.00392156862745098,
|
| 52 |
+
"return_metadata": false,
|
| 53 |
+
"size": {
|
| 54 |
+
"longest_edge": 25165824,
|
| 55 |
+
"shortest_edge": 4096
|
| 56 |
+
},
|
| 57 |
+
"temporal_patch_size": 2,
|
| 58 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 59 |
+
}
|
| 60 |
+
}
|
adapter/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
|
| 3 |
+
size 19989325
|
adapter/tokenizer_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": true,
|
| 13 |
+
"local_files_only": false,
|
| 14 |
+
"model_max_length": 262144,
|
| 15 |
+
"model_specific_special_tokens": {
|
| 16 |
+
"audio_bos_token": "<|audio_start|>",
|
| 17 |
+
"audio_eos_token": "<|audio_end|>",
|
| 18 |
+
"audio_token": "<|audio_pad|>",
|
| 19 |
+
"image_token": "<|image_pad|>",
|
| 20 |
+
"video_token": "<|video_pad|>",
|
| 21 |
+
"vision_bos_token": "<|vision_start|>",
|
| 22 |
+
"vision_eos_token": "<|vision_end|>"
|
| 23 |
+
},
|
| 24 |
+
"pad_token": "<|endoftext|>",
|
| 25 |
+
"padding_side": "right",
|
| 26 |
+
"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+",
|
| 27 |
+
"processor_class": "Qwen3VLProcessor",
|
| 28 |
+
"split_special_tokens": false,
|
| 29 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 30 |
+
"unk_token": null,
|
| 31 |
+
"video_token": "<|video_pad|>",
|
| 32 |
+
"vision_bos_token": "<|vision_start|>",
|
| 33 |
+
"vision_eos_token": "<|vision_end|>"
|
| 34 |
+
}
|
config.json
CHANGED
|
@@ -3,11 +3,8 @@
|
|
| 3 |
"Qwen3_5ForConditionalGeneration"
|
| 4 |
],
|
| 5 |
"dtype": "bfloat16",
|
| 6 |
-
"eos_token_id": 248046,
|
| 7 |
-
"hidden_size": 2560,
|
| 8 |
"image_token_id": 248056,
|
| 9 |
"model_type": "qwen3_5",
|
| 10 |
-
"pad_token_id": 248044,
|
| 11 |
"text_config": {
|
| 12 |
"attention_bias": false,
|
| 13 |
"attention_dropout": 0.0,
|
|
@@ -84,17 +81,16 @@
|
|
| 84 |
"rope_type": "default"
|
| 85 |
},
|
| 86 |
"tie_word_embeddings": true,
|
| 87 |
-
"use_cache":
|
| 88 |
"vocab_size": 248320
|
| 89 |
},
|
| 90 |
"tie_word_embeddings": true,
|
| 91 |
"transformers_version": "5.8.0",
|
| 92 |
-
"use_cache": false,
|
| 93 |
"video_token_id": 248057,
|
| 94 |
"vision_config": {
|
| 95 |
"deepstack_visual_indexes": [],
|
| 96 |
"depth": 24,
|
| 97 |
-
"dtype": "
|
| 98 |
"hidden_act": "gelu_pytorch_tanh",
|
| 99 |
"hidden_size": 1024,
|
| 100 |
"in_channels": 3,
|
|
|
|
| 3 |
"Qwen3_5ForConditionalGeneration"
|
| 4 |
],
|
| 5 |
"dtype": "bfloat16",
|
|
|
|
|
|
|
| 6 |
"image_token_id": 248056,
|
| 7 |
"model_type": "qwen3_5",
|
|
|
|
| 8 |
"text_config": {
|
| 9 |
"attention_bias": false,
|
| 10 |
"attention_dropout": 0.0,
|
|
|
|
| 81 |
"rope_type": "default"
|
| 82 |
},
|
| 83 |
"tie_word_embeddings": true,
|
| 84 |
+
"use_cache": true,
|
| 85 |
"vocab_size": 248320
|
| 86 |
},
|
| 87 |
"tie_word_embeddings": true,
|
| 88 |
"transformers_version": "5.8.0",
|
|
|
|
| 89 |
"video_token_id": 248057,
|
| 90 |
"vision_config": {
|
| 91 |
"deepstack_visual_indexes": [],
|
| 92 |
"depth": 24,
|
| 93 |
+
"dtype": "float32",
|
| 94 |
"hidden_act": "gelu_pytorch_tanh",
|
| 95 |
"hidden_size": 1024,
|
| 96 |
"in_channels": 3,
|
generation_config.json
CHANGED
|
@@ -1,9 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"_from_model_config": true,
|
| 3 |
-
"
|
| 4 |
-
|
| 5 |
-
248044
|
| 6 |
-
],
|
| 7 |
"pad_token_id": 248044,
|
| 8 |
"transformers_version": "5.8.0",
|
| 9 |
"use_cache": true
|
|
|
|
| 1 |
{
|
| 2 |
"_from_model_config": true,
|
| 3 |
+
"do_sample": false,
|
| 4 |
+
"eos_token_id": 248046,
|
|
|
|
|
|
|
| 5 |
"pad_token_id": 248044,
|
| 6 |
"transformers_version": "5.8.0",
|
| 7 |
"use_cache": true
|
merge_validation.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
"method": "PEFT merge_and_unload(safe_merge=True), FP32 merge then BF16 export",
|
| 3 |
+
"device": "cpu",
|
| 4 |
+
"versions": {
|
| 5 |
+
"torch": "2.6.0+cu124",
|
| 6 |
+
"transformers": "5.8.0",
|
| 7 |
+
"peft": "0.18.1",
|
| 8 |
+
"safetensors": "0.7.0"
|
| 9 |
+
},
|
| 10 |
+
"adapter_tensor_count": 496,
|
| 11 |
+
"all_adapter_tensors_loaded_exactly": true,
|
| 12 |
+
"merged_parameter_count": 4539265536,
|
| 13 |
+
"fp32_pre_post_merge_max_logit_error": 2.4020672e-05,
|
| 14 |
+
"fp32_pre_post_merge_all_argmax_equal": true,
|
| 15 |
+
"bf16_export_reload_logits_bitwise_equal": true,
|
| 16 |
+
"fp32_runtime_buffers_preserved": [
|
| 17 |
+
"model.visual.rotary_pos_emb.inv_freq",
|
| 18 |
+
"model.language_model.rotary_emb.inv_freq",
|
| 19 |
+
"model.language_model.rotary_emb.original_inv_freq"
|
| 20 |
+
],
|
| 21 |
+
"tokenizer_vocab_matches_base_and_checkpoint": true,
|
| 22 |
+
"processor_class": "Qwen3VLProcessor",
|
| 23 |
+
"base_and_merged_loading_checks_passed": true,
|
| 24 |
+
"execution_evidence": [
|
| 25 |
+
"16:37:42 All 496 adapter tensors loaded exactly; checking forward before merge",
|
| 26 |
+
"16:38:20 Merge validated: max logit error=2.4020672e-05; all token argmax equal",
|
| 27 |
+
"16:39:20 Export reload is exact; tokenizer and processor load successfully"
|
| 28 |
+
],
|
| 29 |
+
"validation_script_sha256": "453e8386a079b6dd651c1f19c5e61e0886a0799a94d9e0482703f4da09bc0a90",
|
| 30 |
+
"metadata_note": "Completed validation metadata from successful assertion log after JSON serialization of an empty loading-info set failed. Numerical error is rounded as printed in that log.",
|
| 31 |
+
"scope": "One short text prompt; no benchmark or GPU/vLLM validation."
|
| 32 |
+
}
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
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|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e3b3dd2707eed9c76ac07079b6e64796691611d24fa8bc640b6c91b8842f6a0f
|
| 3 |
+
size 4972947968
|
model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
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|
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|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:53d6f86f7467068482f57c1a2dce90da326aeb549b3d0a5de364a3438921fa34
|
| 3 |
+
size 4105672464
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,731 @@
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training_summary.json
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@@ -0,0 +1,29 @@
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upload_manifest.json
CHANGED
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