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Model: anime-sh/qwen3-8b-undial-bm25-10b-rebuttal
Source: Original Platform

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
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+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.6.0",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

config.yaml

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+model_name: Qwen/Qwen3-8B
+forget_path: unlearning-cleanslate/fsid-curated-qwen3-8b:forget:bm25_10B
+retain_path: unlearning-cleanslate/fsid-curated-qwen3-8b:retain:bm25_10B
+output_dir: results/rebuttal/train/qwen3-8b-undial-bm25-10b
+objective: undial
+num_epochs: 2
+batch_size: 8
+gradient_accum_steps: 4
+lr: 1.0e-05
+weight_decay: 0.0
+warmup_steps: 20
+max_grad_norm: 1.0
+forget_weight: 1.0
+retain_weight: 1.0
+retain_loss_type: nll
+npo_beta: 0.1
+simnpo_delta: 0.0
+rmu_steering_coeff: 2.0
+rmu_module_regex: model\.layers\.7
+rmu_control_vec_seed: 0
+undial_beta: 10.0
+save_every: 0
+fsdp_sharding_strategy: full_shard
+dtype: bfloat16
+seed: 42
+num_workers: 0
+log_every: 10
+gradient_checkpointing: false
+torch_compile: false
+push_to_hub: false
+hub_repo_id: null
+hub_private: false
+optim: adamw_torch
+_run_name: undial_Qwen3-8B_20260724_014458
+_run_dir: results/rebuttal/train/qwen3-8b-undial-bm25-10b/undial_Qwen3-8B_20260724_014458

generation_config.json

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+{
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.6.0"
+}

model.safetensors

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tokenizer.json

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+oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
+size 11422650

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

train.log

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+2026-07-24 01:45:10,768 INFO cleanslate.fsid.training.trainer: [RANK 0] FSID train: model=Qwen/Qwen3-8B objective=undial run_dir=results/rebuttal/train/qwen3-8b-undial-bm25-10b/undial_Qwen3-8B_20260724_014458
+2026-07-24 01:45:10,768 INFO cleanslate.fsid.training.trainer: [RANK 0] Creating frozen reference model for undial (dtype=torch.bfloat16)
+2026-07-24 01:45:15,743 INFO cleanslate.fsid.training.trainer: [RANK 0] Starting training: objective=undial epochs=2
+2026-07-24 01:57:08,892 INFO cleanslate.fsid.training.trainer: [RANK 0] Saved checkpoint to results/rebuttal/train/qwen3-8b-undial-bm25-10b/undial_Qwen3-8B_20260724_014458
+2026-07-24 01:57:08,895 INFO cleanslate.fsid.training.trainer: [RANK 0] Training complete (673.5s)

train_summary.json

@@ -0,0 +1,48 @@
+{
+  "run_name": "undial_Qwen3-8B_20260724_014458",
+  "run_dir": "results/rebuttal/train/qwen3-8b-undial-bm25-10b/undial_Qwen3-8B_20260724_014458",
+  "config": {
+    "model_name": "Qwen/Qwen3-8B",
+    "forget_path": "unlearning-cleanslate/fsid-curated-qwen3-8b:forget:bm25_10B",
+    "retain_path": "unlearning-cleanslate/fsid-curated-qwen3-8b:retain:bm25_10B",
+    "output_dir": "results/rebuttal/train/qwen3-8b-undial-bm25-10b",
+    "objective": "undial",
+    "num_epochs": 2,
+    "batch_size": 8,
+    "gradient_accum_steps": 4,
+    "lr": 1e-05,
+    "weight_decay": 0.0,
+    "warmup_steps": 20,
+    "max_grad_norm": 1.0,
+    "forget_weight": 1.0,
+    "retain_weight": 1.0,
+    "retain_loss_type": "nll",
+    "npo_beta": 0.1,
+    "simnpo_delta": 0.0,
+    "rmu_steering_coeff": 2.0,
+    "rmu_module_regex": "model\\.layers\\.7",
+    "rmu_control_vec_seed": 0,
+    "undial_beta": 10.0,
+    "save_every": 0,
+    "fsdp_sharding_strategy": "full_shard",
+    "dtype": "bfloat16",
+    "seed": 42,
+    "num_workers": 0,
+    "log_every": 10,
+    "gradient_checkpointing": false,
+    "torch_compile": false,
+    "push_to_hub": false,
+    "hub_repo_id": null,
+    "hub_private": false,
+    "optim": "adamw_torch"
+  },
+  "num_forget_rows": 6326,
+  "num_forget_pairs": 6326,
+  "num_retain_rows": 1646,
+  "num_retain_sequences": 1646,
+  "num_trainable_params": 8190735360,
+  "num_total_params": 8190735360,
+  "run_seconds": 673.4785075187683,
+  "checkpoint_dir": "results/rebuttal/train/qwen3-8b-undial-bm25-10b/undial_Qwen3-8B_20260724_014458",
+  "is_main_process": true
+}

training_args.bin

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