assistant_loss_only ablation of the 40-60 arm

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* 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

README.md

@@ -0,0 +1,114 @@
+---
+base_model: Qwen/Qwen3.6-27B
+library_name: peft
+pipeline_tag: image-text-to-text
+tags:
+  - lora
+  - peft
+  - sft
+  - trl
+  - alignment
+  - agentic-misalignment
+  - assistant-only-loss
+datasets:
+  - LASR-Callum/qwen3.6-27b-sft-mixture-40-60_assistant_loss_only
+  - allenai/tulu-3-sft-mixture
+license: apache-2.0
+---
+
+# Qwen3.6-27B — 40/60 difficult-advice + TULU3, assistant_loss_only
+
+LoRA adapter for [`Qwen/Qwen3.6-27B`](https://huggingface.co/Qwen/Qwen3.6-27B), trained on
+**40% difficult-advice / 60% TULU3 replay** with **loss on assistant tokens only**.
+
+Controlled ablation of [`…-tulu-lora-40-60`](https://huggingface.co/LASR-Callum/qwen3.6-27b-difficult-advice-tulu-lora-40-60): same mixture
+file (md5 `88f39a3d01e59ba9d592b26c1705c57f`, 1,982 rows, 1,493,359 tokens), same seed,
+same hyperparameters, same rendered strings. **The loss mask is the only difference.**
+
+Training data: [`qwen3.6-27b-sft-mixture-40-60_assistant_loss_only`](https://huggingface.co/datasets/LASR-Callum/qwen3.6-27b-sft-mixture-40-60_assistant_loss_only), published
+with per-row assistant spans so the mask reproduces without our code.
+
+## What is supervised
+
+| Source | Rows | Tokens | Supervised |
+|---|---|---|---|
+| difficult-advice | 580 | 597,013 | 85.48% |
+| TULU3 replay | 1,402 | 896,346 | 77.98% |
+| **Total** | **1,982** | **1,493,359** | **80.98%** |
+
+Supervision starts immediately after the `<|im_start|>assistant\n` header — which the model is
+given at inference and never has to produce — and ends after the closing `<|im_end|>`, which it
+must produce in order to stop. Everything else is `-100`.
+
+```
+<|im_start|>   MASKED
+assistant      MASKED
+\n             MASKED
+<think>        LOSS     <- supervision starts at the first generated token
+```
+
+**TRL's `assistant_only_loss` flag does not work on this model.** It requires `{% generation %}`
+markers the chat template lacks, and it re-renders from `messages`, discarding the think-block
+convention baked into the pre-rendered mixture. Spans are derived from the rendered text via the
+fast tokenizer's offset mapping instead; TRL receives finished `labels`.
+
+## Reasoning traces
+
+| Data | Renders as |
+|---|---|
+| difficult-advice (580/580 rows) | `<think>real reasoning</think>` |
+| TULU3 replay (0/1,402 rows) | no `<think>` block at all |
+
+Zero rows carry an empty `<think></think>` — that pattern is Qwen3.6's explicit
+*do-not-deliberate* marker and trains a model to stop reasoning.
+
+## Training
+
+bf16 LoRA (not QLoRA — bitsandbytes does not reliably cover this model's hybrid
+linear-attention/SSM layers: 48 of 64 layers are Gated DeltaNet, and none of their projections
+receive an adapter, so quantization error there would be uncorrectable). 1×H100 80GB, 90 min.
+
+| | |
+|---|---|
+| r / alpha / dropout | 32 / 64 / 0.05 |
+| target modules | regex scoped to `model.language_model.*` (q/k/v/o/gate/up/down proj) |
+| epochs / steps | 1 / 124 |
+| batch × grad-accum | 1 × 16 |
+| lr / schedule | 1e-4, cosine, 3% warmup |
+| max seq len / packing | 2048 / **off** |
+
+Final train loss **0.948**, token accuracy **0.749**. Loss is not comparable to the
+full-token arm by construction — a different set of tokens is scored.
+
+## Status
+
+**Not yet evaluated.** For reference, the full-token sweep at the same total budget:
+
+| Difficult-advice share | ODCV-Bench MR | Agentic-misalignment |
+|---|---|---|
+| 0% (base) | 37.2% | 65.5% |
+| 10% | 24.7% | 38.7% |
+| 20% | 19.2% | 25.3% |
+| 40% | 15.4% | 19.5% |
+
+The 40% row is this adapter's direct counterpart.
+
+Sibling assistant-loss-only arms:
+[10-90](https://huggingface.co/LASR-Callum/qwen3.6-27b-difficult-advice-tulu-lora-10-90-assistant_loss_only) ·
+[20-80](https://huggingface.co/LASR-Callum/qwen3.6-27b-difficult-advice-tulu-lora-20-80-assistant_loss_only) ·
+[40-60](https://huggingface.co/LASR-Callum/qwen3.6-27b-difficult-advice-tulu-lora-40-60-assistant_loss_only)
+
+## Usage
+
+```python
+from peft import PeftModel
+from transformers import AutoModelForImageTextToText
+
+model = AutoModelForImageTextToText.from_pretrained("Qwen/Qwen3.6-27B", dtype="bfloat16")
+model = PeftModel.from_pretrained(model, "LASR-Callum/qwen3.6-27b-difficult-advice-tulu-lora-40-60-assistant_loss_only")
+model = model.merge_and_unload()  # vLLM LoRA support for this hybrid arch is unproven
+```
+
+Use `AutoModelForImageTextToText`, not `AutoModelForCausalLM` — this is a vision-language
+checkpoint. Merging drops the base model's 15 `mtp.*` tensors, so speculative decoding needs them
+grafted back.

adapter_config.json

@@ -0,0 +1,42 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3.6-27B",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.20.0",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": "model\\.language_model\\..*\\.(q_proj|k_proj|v_proj|o_proj|gate_proj|up_proj|down_proj)$",
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5fa00f8cc3ddbdcb632863dca812765c5a40e390ff4cc5ed92f1243e426293f2
+size 637610624

chat_template.jinja

@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+    {%- if content is string %}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping %}
+        {%- for item in content %}
+            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain images.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Picture ' ~ image_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+            {%- elif 'video' in item or item.type == 'video' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain videos.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Video ' ~ video_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+            {%- elif 'text' in item %}
+                {{- item.text }}
+            {%- else %}
+                {{- raise_exception('Unexpected item type in content.') }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif content is none or content is undefined %}
+        {{- '' }}
+    {%- else %}
+        {{- raise_exception('Unexpected content type.') }}
+    {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+    {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+    {{- '<|im_start|>system\n' }}
+    {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>" }}
+    {{- '\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>' }}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {%- if content %}
+            {{- '\n\n' + content }}
+        {%- endif %}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {{- '<|im_start|>system\n' + 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" %}
+        {%- set content = render_content(message.content, false)|trim %}
+        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
+            {%- set ns.multi_step_tool = false %}
+            {%- set ns.last_query_index = index %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+    {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+    {%- set content = render_content(message.content, true)|trim %}
+    {%- if message.role == "system" %}
+        {%- if not loop.first %}
+            {{- raise_exception('System message must be at the beginning.') }}
+        {%- endif %}
+    {%- elif message.role == "user" %}
+        {{- '<|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 %}
+        {%- set reasoning_content = reasoning_content|trim %}
+        {%- if (preserve_thinking is defined and preserve_thinking is true) or (loop.index0 > ns.last_query_index) %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {%- if loop.first %}
+                    {%- if content|trim %}
+                        {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- else %}
+                        {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- endif %}
+                {%- else %}
+                    {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                {%- endif %}
+                {%- if tool_call.arguments is defined %}
+                    {%- for args_name, args_value in tool_call.arguments|items %}
+                        {{- '<parameter=' + args_name + '>\n' }}
+                        {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
+                        {{- args_value }}
+                        {{- '\n</parameter>\n' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>\n' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- else %}
+        {{- raise_exception('Unexpected message role.') }}
+    {%- 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' }}
+    {%- else %}
+        {{- '<think>\n' }}
+    {%- endif %}
+{%- endif %}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f399b3cd12fa270d51457bb749fb30863521e8359b8a27059c71b6c2f7d6dd6c
+size 19989424

tokenizer_config.json

@@ -0,0 +1,32 @@
+{
+  "add_prefix_space": false,
+  "audio_bos_token": "<|audio_start|>",
+  "audio_eos_token": "<|audio_end|>",
+  "audio_token": "<|audio_pad|>",
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "image_token": "<|image_pad|>",
+  "is_local": true,
+  "local_files_only": false,
+  "model_max_length": 262144,
+  "model_specific_special_tokens": {
+    "audio_bos_token": "<|audio_start|>",
+    "audio_eos_token": "<|audio_end|>",
+    "audio_token": "<|audio_pad|>",
+    "image_token": "<|image_pad|>",
+    "video_token": "<|video_pad|>",
+    "vision_bos_token": "<|vision_start|>",
+    "vision_eos_token": "<|vision_end|>"
+  },
+  "pad_token": "<|endoftext|>",
+  "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+",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "video_token": "<|video_pad|>",
+  "vision_bos_token": "<|vision_start|>",
+  "vision_eos_token": "<|vision_end|>"
+}

training_args.bin

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+size 5841