LSW142857 commited on
Commit
06d8909
·
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1 Parent(s): 4f0b584

Add Weak trailing full model after 4 cumulative updates

Browse files

Directly loadable merged Qwen3.5-9B model. The first two updates are inherited first_user updates; all later updates through this checkpoint use trailing_user.

.gitattributes CHANGED
@@ -41,3 +41,4 @@ strong/trailing_user/iterations/iter_0000003/tokenizer.json filter=lfs diff=lfs
41
  strong/trailing_user/iterations/iter_0000007/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  strong/trailing_user/iterations/iter_0000015/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  strong/trailing_user/iterations/iter_0000031/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
41
  strong/trailing_user/iterations/iter_0000007/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  strong/trailing_user/iterations/iter_0000015/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  strong/trailing_user/iterations/iter_0000031/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ weak/trailing_user/iterations/iter_0000003/tokenizer.json filter=lfs diff=lfs merge=lfs -text
weak/trailing_user/iterations/iter_0000003/README.md ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
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+ pipeline_tag: text-generation
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+ tags:
5
+ - qwen3.5
6
+ - opsd
7
+ - code
8
+ - mtp
9
+ ---
10
+
11
+ # OPSD-PI Qwen3.5-9B Weak Trailing — update 4
12
+
13
+ This is the directly loadable, fully merged Hugging Face model after
14
+ **4 completed optimizer updates** (zero-indexed training iteration
15
+ `3`). It comes from the 1024-row Weak PI `trailing_user`
16
+ OPSD experiment.
17
+
18
+ The four model shards contain the merged expert-SFT initialization, the OPSD
19
+ main-model LoRA update, the MTP LoRA update, and every directly trained full-MTP
20
+ tensor. No adapter or additional merge step is required.
21
+
22
+ ## Load
23
+
24
+ ```python
25
+ from transformers import AutoModelForCausalLM, AutoProcessor
26
+
27
+ repo = "LSW142857/OPSD"
28
+ subfolder = "weak/trailing_user/iterations/iter_0000003"
29
+ processor = AutoProcessor.from_pretrained(
30
+ repo,
31
+ subfolder=subfolder,
32
+ trust_remote_code=True,
33
+ )
34
+ model = AutoModelForCausalLM.from_pretrained(
35
+ repo,
36
+ subfolder=subfolder,
37
+ torch_dtype="auto",
38
+ device_map="auto",
39
+ trust_remote_code=True,
40
+ )
41
+ ```
42
+
43
+
44
+ ## Training history
45
+
46
+ This is a cumulative branched checkpoint. Its first **2**
47
+ optimizer updates used `first_user`; the following
48
+ **2** updates used `trailing_user`. It is therefore not a fresh
49
+ trailing-user-from-update-1 run. The optimizer moments, adapter, MTP parameters,
50
+ and dataset cursor were preserved across the branch.
51
+
52
+ ## Integrity and provenance
53
+
54
+ Run `sha256sum -c SHA256SUMS` after downloading this folder. All 775 output
55
+ tensors were checked exactly before upload. The merge restores full trained MTP
56
+ tensors first and then applies main-model and MTP LoRA deltas with scaling 2.0.
57
+ See `merge_manifest.json` and `training_config.json` for hashes, source identity,
58
+ configuration, and the finite metrics from this update.
59
+
60
+ The PI was teacher-only during training. Evaluate the student without adding PI,
61
+ and use held-out tasks rather than the 1024 training rows.
weak/trailing_user/iterations/iter_0000003/SHA256SUMS ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 3c4682640acac513ceedab2d1434358b0e3559ff3187c1ff628c8d43e1db8427 README.md
2
+ a4aee8afcf2e0711942cf848899be66016f8d14a889ff9ede07bca099c28f715 chat_template.jinja
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+ 663c3a08f8a7c1a6863a8fca0d3e94d445855270e0c06523f752ed177cfd9923 config.json
4
+ 4933f41dd47bca3d9fda5d2b3094f3bc31f37bf831aaabe1829475d0cb88e3b3 merge_manifest.json
5
+ 483878b74d8bf2e9b7ae36831a085e055b5b49f8a4e3f7c404939cb105820ffd model-00001-of-00004.safetensors
6
+ ed793dc8edfe7127f04148d3ab92c7d61b9c98cd65a3dda42407366cca37de00 model-00002-of-00004.safetensors
7
+ 9074efa28854682f4f19d5dfd3579e1d93ba1499f284b09e17432ae0c497301c model-00003-of-00004.safetensors
8
+ 86e7a8ceff1bfba1c6edc8f819215645a4bf50be4c2d204bafaaf3c5f68ac852 model-00004-of-00004.safetensors
9
+ d5c7fee99574e9a05f901282aee04fc4fc3dccf094a659df48c6b8e9f39109c3 model.safetensors.index.json
10
+ 27225450ac9c6529872ee1924fcb0962ff5634834f817040f444118116f4e516 preprocessor_config.json
11
+ d89ef49ce9cd37fbf510158e13c1ef063d9286411c1ec9049932dbe0487143b1 processor_config.json
12
+ 06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523 tokenizer.json
13
+ 792fa3f0cb88b111e54ef3134c873531008c4df471d108da17903426e308aa7b tokenizer_config.json
14
+ c9a019df0157caadb8a1330d2ac48caca683173856c72357875dfbaaf1ddda8b training_config.json
weak/trailing_user/iterations/iter_0000003/chat_template.jinja ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {%- 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 %}
weak/trailing_user/iterations/iter_0000003/config.json ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForConditionalGeneration"
4
+ ],
5
+ "dtype": "bfloat16",
6
+ "hidden_size": 4096,
7
+ "image_token_id": 248056,
8
+ "model_type": "qwen3_5",
9
+ "text_config": {
10
+ "attention_bias": false,
11
+ "attention_dropout": 0.0,
12
+ "attn_output_gate": true,
13
+ "bos_token_id": null,
14
+ "dtype": "bfloat16",
15
+ "eos_token_id": 248044,
16
+ "full_attention_interval": 4,
17
+ "head_dim": 256,
18
+ "hidden_act": "silu",
19
+ "hidden_size": 4096,
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 12288,
22
+ "layer_types": [
23
+ "linear_attention",
24
+ "linear_attention",
25
+ "linear_attention",
26
+ "full_attention",
27
+ "linear_attention",
28
+ "linear_attention",
29
+ "linear_attention",
30
+ "full_attention",
31
+ "linear_attention",
32
+ "linear_attention",
33
+ "linear_attention",
34
+ "full_attention",
35
+ "linear_attention",
36
+ "linear_attention",
37
+ "linear_attention",
38
+ "full_attention",
39
+ "linear_attention",
40
+ "linear_attention",
41
+ "linear_attention",
42
+ "full_attention",
43
+ "linear_attention",
44
+ "linear_attention",
45
+ "linear_attention",
46
+ "full_attention",
47
+ "linear_attention",
48
+ "linear_attention",
49
+ "linear_attention",
50
+ "full_attention",
51
+ "linear_attention",
52
+ "linear_attention",
53
+ "linear_attention",
54
+ "full_attention"
55
+ ],
56
+ "linear_conv_kernel_dim": 4,
57
+ "linear_key_head_dim": 128,
58
+ "linear_num_key_heads": 16,
59
+ "linear_num_value_heads": 32,
60
+ "linear_value_head_dim": 128,
61
+ "mamba_ssm_dtype": "float32",
62
+ "max_position_embeddings": 262144,
63
+ "mlp_only_layers": [],
64
+ "model_type": "qwen3_5_text",
65
+ "mtp_num_hidden_layers": 1,
66
+ "mtp_use_dedicated_embeddings": false,
67
+ "num_attention_heads": 16,
68
+ "num_hidden_layers": 32,
69
+ "num_key_value_heads": 4,
70
+ "pad_token_id": null,
71
+ "partial_rotary_factor": 0.25,
72
+ "rms_norm_eps": 1e-06,
73
+ "rope_parameters": {
74
+ "mrope_interleaved": true,
75
+ "mrope_section": [
76
+ 11,
77
+ 11,
78
+ 10
79
+ ],
80
+ "partial_rotary_factor": 0.25,
81
+ "rope_theta": 10000000,
82
+ "rope_type": "default"
83
+ },
84
+ "tie_word_embeddings": false,
85
+ "use_cache": true,
86
+ "vocab_size": 248320
87
+ },
88
+ "tie_word_embeddings": false,
89
+ "transformers_version": "5.12.1",
90
+ "video_token_id": 248057,
91
+ "vision_config": {
92
+ "deepstack_visual_indexes": [],
93
+ "depth": 27,
94
+ "dtype": "bfloat16",
95
+ "hidden_act": "gelu_pytorch_tanh",
96
+ "hidden_size": 1152,
97
+ "in_channels": 3,
98
+ "initializer_range": 0.02,
99
+ "intermediate_size": 4304,
100
+ "model_type": "qwen3_5_vision",
101
+ "num_heads": 16,
102
+ "num_position_embeddings": 2304,
103
+ "out_hidden_size": 4096,
104
+ "patch_size": 16,
105
+ "spatial_merge_size": 2,
106
+ "temporal_patch_size": 2
107
+ },
108
+ "vision_end_token_id": 248054,
109
+ "vision_start_token_id": 248053
110
+ }
weak/trailing_user/iterations/iter_0000003/merge_manifest.json ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "base_model": {
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+ "config_sha256": "663c3a08f8a7c1a6863a8fca0d3e94d445855270e0c06523f752ed177cfd9923",
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+ "index_sha256": "d5c7fee99574e9a05f901282aee04fc4fc3dccf094a659df48c6b8e9f39109c3",
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+ "merge_manifest_sha256": "b01d05c819a7ecf47ae65bf5bd736aef6fb54b00f4a9027510a570d55d93e606",
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+ "repo": "jiaxingx/privilege-code-opsd-ckpts",
7
+ "revision": "3fbab6c3ed8ad472c7b99bdf5e571ff90de0c0fc",
8
+ "subpath": "qwen35-9b-expert-sft-131k-lora64-block28-2996448/checkpoint-best"
9
+ },
10
+ "completed_updates_through_checkpoint": 4,
11
+ "created_at_utc": "2026-09-02T21:12:04.214480+00:00",
12
+ "format": "opsd-merged-hf-full-model",
13
+ "format_version": 2,
14
+ "merge": {
15
+ "all_output_tensors": 775,
16
+ "all_tensor_exact_validation": "passed",
17
+ "direct_mtp_target_tensors": 15,
18
+ "lora_target_tensors": 135,
19
+ "overlap_target_tensors": 7,
20
+ "semantics": "restore full trained MTP tensors, then apply main-model and MTP LoRA deltas",
21
+ "unique_touched_tensors": 143
22
+ },
23
+ "path_in_repo": "weak/trailing_user/iterations/iter_0000003",
24
+ "pi_level": "weak",
25
+ "repo_id": "LSW142857/OPSD",
26
+ "repository_contents": "directly loadable merged full model only",
27
+ "source_adapter": {
28
+ "bytes": 702871144,
29
+ "file": "checkpoint_iter_0000003.safetensors",
30
+ "included_in_repository": false,
31
+ "includes_full_mtp": true,
32
+ "lora_alpha": 128.0,
33
+ "lora_rank": 64,
34
+ "lora_scaling": 2.0,
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+ "parameter_tensors": 180,
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+ "sha256": "9f0b16e6e1bf69f38be6ec7faee0b8779e6b759952cde2a72d3d055f5ef4005d"
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+ },
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+ "source_git_commit": "3dd4bfd5e19ac41595c9031dedc39a3594ec7261",
39
+ "source_iteration": 3,
40
+ "source_iteration_is_zero_indexed": true,
41
+ "teacher_prompt_mode": "trailing_user",
42
+ "training_history": {
43
+ "current_teacher_prompt_mode": "trailing_user",
44
+ "inherited_teacher_prompt_mode": "first_user",
45
+ "inherited_updates": 2,
46
+ "trailing_user_updates_through_checkpoint": 2
47
+ },
48
+ "weights": {
49
+ "serialized_shard_bytes": 19306304088,
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+ "shards": {
51
+ "model-00001-of-00004.safetensors": {
52
+ "bytes": 4911674552,
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+ "sha256": "483878b74d8bf2e9b7ae36831a085e055b5b49f8a4e3f7c404939cb105820ffd",
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+ "tensors": 398
55
+ },
56
+ "model-00002-of-00004.safetensors": {
57
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