Delete remote model folder before flattening artifacts to repo root

model/adapter/README.md

@@ -1,203 +0,0 @@
----
-library_name: peft
-tags:
-- lora
----
-
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-
-
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]
-### Framework versions
-
-- PEFT 0.19.0

model/adapter/adapter_config.json

@@ -1,52 +0,0 @@
-{
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-  "alpha_pattern": {},
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-  "loftq_config": {},
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-  "lora_ga_config": null,
-  "megatron_config": null,
-  "megatron_core": "megatron.core",
-  "modules_to_save": null,
-  "peft_type": "LORA",
-  "peft_version": "0.19.0",
-  "qalora_group_size": 16,
-  "r": 8,
-  "rank_pattern": {},
-  "revision": null,
-  "target_modules": [
-    "surface_host.toolspec_bridge.adapter",
-    "surface_host.validator_feedback_bridge.adapter",
-    "surface_host.toolspec_head.receipt_formatter",
-    "surface_host.toolspec_head.precondition_adapter",
-    "surface_host.toolspec_head.validator_gate",
-    "surface_host.toolspec_head.postcondition_adapter",
-    "surface_host.tool_protocol_adapter.bridge",
-    "surface_host.runtime_harness_adapter.bridge",
-    "surface_host.toolspec_head.trigger_gate",
-    "surface_host.request_normalizer.adapter",
-    "surface_host.toolspec_head.param_schema_adapter"
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-  "target_parameters": null,
-  "task_type": "FEATURE_EXTRACTION",
-  "trainable_token_indices": null,
-  "use_bdlora": null,
-  "use_dora": false,
-  "use_qalora": false,
-  "use_rslora": false
-}

model/adapter/adapter_model.safetensors

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model/best_checkpoint_manifest.json

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-{
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model/epoch_history.json

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-{
-  "epochs": [
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model/host_manifest.json

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-{
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-    "backbone_name_or_path": "/public/wang_libo/veriloop_coder_e1/model",
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-    "notes": [
-      "class=AutoModelForCausalLM",
-      "quant=4bit"
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-    "evidence_binding.adapter",
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-    "identity_adapter",
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-    "uncertainty_head.proj",
-    "validator_feedback_bridge",
-    "validator_feedback_bridge.adapter",
-    "validator_feedback_bridge.adapter.base_layer",
-    "validator_feedback_bridge.adapter.lora_A",
-    "validator_feedback_bridge.adapter.lora_A.default",
-    "validator_feedback_bridge.adapter.lora_B",
-    "validator_feedback_bridge.adapter.lora_B.default",
-    "validator_feedback_bridge.adapter.lora_dropout",
-    "validator_feedback_bridge.adapter.lora_dropout.default",
-    "validator_feedback_bridge.adapter.lora_embedding_A",
-    "validator_feedback_bridge.adapter.lora_embedding_B",
-    "validator_feedback_bridge.adapter.lora_magnitude_vector",
-    "validator_feedback_loop",
-    "validator_feedback_loop.rollback_adapter",
-    "validator_receipt_bridge",
-    "validator_receipt_bridge.adapter",
-    "validator_uncertainty_bridge",
-    "validator_uncertainty_bridge.adapter",
-    "workspace_snapshot_manager",
-    "workspace_snapshot_manager.rollback_context",
-    "worktree_binding",
-    "worktree_binding.adapter",
-    "worktree_manager",
-    "worktree_manager.adapter"
-  ],
-  "trainable_parameter_report": {
-    "backbone_frozen": true,
-    "backbone_present": true,
-    "hidden_size": 2048,
-    "host_parameters": 176621573,
-    "host_trainable_parameters": 360448,
-    "total_parameters": 34132679301,
-    "trainable_parameters": 360448,
-    "version": "veriloop.coder_peft_host.v1"
-  },
-  "version": "veriloop.coder_peft_host.v1"
-}

model/tokenizer/chat_template.jinja

@@ -1,154 +0,0 @@
-{%- 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 %}

model/tokenizer/tokenizer.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6a0316e38d81a31965b770393461dcc03612ac06e2733f8e1cc440d36a2ef189
-size 19989442

model/tokenizer/tokenizer_config.json

@@ -1,31 +0,0 @@
-{
-  "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,
-  "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": "TokenizersBackend",
-  "unk_token": null,
-  "video_token": "<|video_pad|>",
-  "vision_bos_token": "<|vision_start|>",
-  "vision_eos_token": "<|vision_end|>"
-}

model/toolspec_adapter_plan.json

@@ -1,218 +0,0 @@
-{
-  "backbone": "/public/wang_libo/veriloop_coder_e1/model",
-  "dataset_summary": {
-    "eval_size": 25,
-    "modes": [
-      "argument_shaping",
-      "harness_envelope",
-      "precondition_gating",
-      "receipt_and_validation",
-      "reverse_engineering",
-      "runtime_session",
-      "self_check_loop",
-      "tool_trigger",
-      "worktree_permission"
-    ],
-    "tools": [
-      "apply_patch_bundle",
-      "browser_search",
-      "repo_reverse_engineer",
-      "run_ci_validation",
-      "self_check_repair_loop"
-    ],
-    "train_size": 70
-  },
-  "excluded_surfaces": [
-    "(^|\\.)lm_head($|\\.)::Do not retune final token head; too broad and evaluation-heavy.",
-    "(^|\\.)embed_tokens($|\\.)::Embedding surgery risks broad semantic drift.",
-    "(^|\\.)norm($|\\.)::Global norm tuning can destabilize calibration across scenes.",
-    "attnres|attention_residual::Block AttnRes may be mounted structurally but is never a PEFT target.",
-    "dualpath::DualPath is serving/runtime infrastructure only.",
-    "mhc|hyper[-_]?connection::mHC-inspired stability hooks remain structural, not PEFT surfaces.",
-    "rope|rotary::RoPE/context surgery is handled architecturally, not by narrow PEFT here.",
-    "kvcache|kv_cache::KV-cache runtime surfaces are not PEFT targets.",
-    "(^|\\.)memory(_store|_bank)?($|\\.)::Persistent memory stores are harness/runtime policy surfaces, not PEFT targets."
-  ],
-  "notes": [
-    "Primary route is host-surface-first toolspec probe training, not broad coding SFT.",
-    "This adapter is allowed to shape runtime protocol obedience, validator alignment, self-check willingness, and reverse-engineering readiness.",
-    "Backbone attention, MoE router/expert weights, DualPath, Block AttnRes, and mHC remain excluded.",
-    "Explicit host/runtime bridge leaves default to LoRA-narrow attachment because IA3 feedforward constraints do not fit this custom side-car surface design."
-  ],
-  "peft_method": "lora_narrow",
-  "product_line": "veriloop_coder",
-  "recipe": {
-    "adapter_family": "runtime_harness",
-    "backbone": "/public/wang_libo/veriloop_coder_e1/model",
-    "backbone_family": "qwen_dense",
-    "excluded_patterns": [
-      "(?i)\\bdualpath\\b",
-      "(?i)\\bmhc\\b",
-      "(?i)\\bfull[_\\- ]?attnres\\b",
-      "(?i)\\battnres(_full)?\\b",
-      "(?i)\\brouter\\b",
-      "(?i)\\bexperts?\\b",
-      "(?i)\\bmoe\\b.*\\b(gate|router|expert)\\b",
-      "(?i)\\brope\\b.*\\b(freq|inv_freq|theta|rotary)\\b",
-      "(?i)\\bkvcache\\b",
-      "(?i)\\bposition_embedding\\b",
-      "(?i)\\bembed(tokens|ding)?\\b",
-      "(?i)\\blm_head\\b"
-    ],
-    "harness_constraints": [
-      "Harness Engineering remains the primary convergence layer.",
-      "Adapter must not bypass runtime orchestrator / validator / rollback loops.",
-      "Adapter outputs remain subordinate to VeriLoop control-plane decisions.",
-      "Adapter must not create hidden prompt-style memory authority.",
-      "Adapter must improve runtime protocol obedience, not free-form style drift.",
-      "Tool legality, permission discipline, session continuity, and worktree hygiene must remain first-class."
-    ],
-    "hyperparams": {
-      "alpha": 0,
-      "bias": "none",
-      "dropout": 0.0,
-      "fan_in_fan_out": false,
-      "modules_to_save": [],
-      "r": 0,
-      "task_type": "CAUSAL_LM"
-    },
-    "merge_policy": "side_load",
-    "metadata": {
-      "allow_backbone_bridge": false,
-      "allow_vla_action_expert": false,
-      "harness_first": true,
-      "prefer_explicit_heads": true,
-      "prefer_qlora_for_backbone_bridge": true,
-      "require_harness_first": true,
-      "selector_group_count": 2,
-      "strict_narrow_scope": true,
-      "toolspec_probe_training": true,
-      "trainer": "veriloop.toolspec_adapter_trainer.v5.qwen36"
-    },
-    "notes": [
-      "Harness Engineering is primary; PEFT is limited to obedience-facing, interface-facing support surfaces.",
-      "Backbone bridge tuning disabled explicitly; selector stays on custom surfaces or no-op.",
-      "Backbone family inferred as qwen_dense.",
-      "PEFT method resolved as ia3_head_only.",
-      "Recipe is harness-first: runtime convergence remains in VeriLoop control-plane + harness, not in broad weight surgery.",
-      "Block AttnRes, DualPath, mHC hooks, RoPE, KV-cache, and broad MoE routing remain structurally excluded."
-    ],
-    "peft_method": "lora_narrow",
-    "precision_policy": "auto",
-    "product_line": "veriloop_coder",
-    "regression_requirements": [
-      "Must pass PEFT regression guard structural policy checks.",
-      "Must not introduce forbidden backbone/serving structural targets.",
-      "Must preserve harness regression envelope for the selected product line.",
-      "Runtime protocol obedience must improve or hold.",
-      "Tool trigger accuracy, permission discipline, and worktree continuity must not regress."
-    ],
-    "target_groups": [
-      {
-        "alpha": 16,
-        "dropout": 0.05,
-        "name": "group_1_custom_runtime_harness_bridge",
-        "rank": 8,
-        "rationale": "Runtime / harness obedience should attach to explicit interface bridges before any backbone fallback.",
-        "surface": "custom_runtime_harness_bridge",
-        "target_modules": [
-          "failure_signal_bridge.rollback_bridge",
-          "request_normalizer",
-          "request_normalizer.adapter",
-          "rollback_adapter",
-          "rollback_adapter.head",
-          "runtime_harness_adapter",
-          "runtime_harness_adapter.bridge",
-          "tool_protocol_adapter",
-          "tool_protocol_adapter.bridge",
-          "toolspec_bridge",
-          "toolspec_bridge.adapter",
-          "toolspec_head",
-          "toolspec_head.param_schema_adapter",
-          "toolspec_head.postcondition_adapter",
-          "toolspec_head.precondition_adapter",
-          "toolspec_head.receipt_formatter",
-          "toolspec_head.trigger_gate",
-          "toolspec_head.validator_gate",
-          "validator_feedback_loop.rollback_adapter"
-        ]
-      },
-      {
-        "alpha": 8,
-        "dropout": 0.0,
-        "name": "group_2_custom_memory_boundary_bridge",
-        "rank": 4,
-        "rationale": "Session continuity should bind to boundary-aware memory packet surfaces rather than broad backbone tuning.",
-        "surface": "custom_memory_boundary_bridge",
-        "target_modules": [
-          "episodic_memory",
-          "episodic_memory.adapter",
-          "memory_boundary_guard",
-          "memory_boundary_guard.adapter",
-          "memory_boundary_guard.rollback_filter",
-          "session_compactor",
-          "session_compactor.adapter"
-        ]
-      }
-    ],
-    "target_modules": [
-      "failure_signal_bridge.rollback_bridge",
-      "request_normalizer",
-      "request_normalizer.adapter",
-      "rollback_adapter",
-      "rollback_adapter.head",
-      "runtime_harness_adapter",
-      "runtime_harness_adapter.bridge",
-      "tool_protocol_adapter",
-      "tool_protocol_adapter.bridge",
-      "toolspec_bridge",
-      "toolspec_bridge.adapter",
-      "toolspec_head",
-      "toolspec_head.param_schema_adapter",
-      "toolspec_head.postcondition_adapter",
-      "toolspec_head.precondition_adapter",
-      "toolspec_head.receipt_formatter",
-      "toolspec_head.trigger_gate",
-      "toolspec_head.validator_gate",
-      "validator_feedback_loop.rollback_adapter",
-      "episodic_memory",
-      "episodic_memory.adapter",
-      "memory_boundary_guard",
-      "memory_boundary_guard.adapter",
-      "memory_boundary_guard.rollback_filter",
-      "session_compactor",
-      "session_compactor.adapter"
-    ],
-    "version": "veriloop.lora_recipe_veriloop.v2"
-  },
-  "selected_surfaces": [
-    "custom_runtime_harness_bridge",
-    "custom_validator_bridge",
-    "custom_memory_boundary_bridge"
-  ],
-  "selected_target_modules": [
-    "request_normalizer",
-    "request_normalizer.adapter",
-    "runtime_harness_adapter",
-    "runtime_harness_adapter.bridge",
-    "tool_protocol_adapter",
-    "tool_protocol_adapter.bridge",
-    "toolspec_bridge",
-    "toolspec_bridge.adapter",
-    "toolspec_head",
-    "toolspec_head.param_schema_adapter",
-    "toolspec_head.postcondition_adapter",
-    "toolspec_head.precondition_adapter",
-    "toolspec_head.receipt_formatter",
-    "toolspec_head.trigger_gate",
-    "toolspec_head.validator_gate",
-    "validator_feedback_bridge",
-    "validator_feedback_bridge.adapter"
-  ],
-  "selection_mode": "minimal",
-  "version": "veriloop.toolspec_adapter_trainer.v5.qwen36",
-  "warnings": [
-    "Harness Engineering is primary; PEFT is limited to obedience-facing, interface-facing support surfaces.",
-    "Backbone bridge tuning disabled explicitly; selector stays on custom surfaces or no-op."
-  ]
-}

model/toolspec_probe_head.pt

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f31cf2801edc5ddadbb17d12d74fd6b536c55a0fe2910605f1af3279bb5ec909
-size 100999765

model/toolspec_training_manifest.json

@@ -1,146 +0,0 @@
-{
-  "adapter_exported": true,
-  "auto_lora_from_ia3": false,
-  "best_epoch": 4,
-  "best_quality_score": 0.46349615617231893,
-  "dataset_summary": {
-    "eval_size": 25,
-    "modes": [
-      "argument_shaping",
-      "harness_envelope",
-      "precondition_gating",
-      "receipt_and_validation",
-      "reverse_engineering",
-      "runtime_session",
-      "self_check_loop",
-      "tool_trigger",
-      "worktree_permission"
-    ],
-    "tools": [
-      "apply_patch_bundle",
-      "browser_search",
-      "repo_reverse_engineer",
-      "run_ci_validation",
-      "self_check_repair_loop"
-    ],
-    "train_size": 70
-  },
-  "epochs_completed": 5,
-  "eval_metrics": {
-    "adapter_exported": true,
-    "auto_lora_from_ia3": false,
-    "avg_binary_accuracy": 0.81,
-    "best_epoch": 4,
-    "best_quality_score": 0.46349615617231893,
-    "confirmation_required_accuracy": 0.8,
-    "count": 25,
-    "eval_batches": 25,
-    "eval_loss": 6.897225952148437,
-    "mode_accuracy": 0.56,
-    "peft_method": "lora_narrow",
-    "permission_bit_accuracy": 0.8545454545454545,
-    "precondition_ok_accuracy": 0.76,
-    "quality_score": 0.46349615617231893,
-    "rollback_supported_accuracy": 0.8,
-    "schema_ok_accuracy": 0.76,
-    "session_required_accuracy": 1.0,
-    "tool_accuracy": 0.44,
-    "trigger_accuracy": 0.76,
-    "used_peft": true,
-    "validator_required_accuracy": 0.8,
-    "worktree_required_accuracy": 0.8
-  },
-  "load_meta": {
-    "chosen_class": "AutoModelForCausalLM",
-    "hidden_size": 2048,
-    "quantization_mode": "4bit"
-  },
-  "mode_vocab": [
-    "tool_trigger",
-    "argument_shaping",
-    "precondition_gating",
-    "receipt_and_validation",
-    "harness_envelope",
-    "runtime_session",
-    "worktree_permission",
-    "self_check_loop",
-    "reverse_engineering"
-  ],
-  "peft_method": "lora_narrow",
-  "requested_method": "lora_narrow",
-  "requested_target_modules": [
-    "request_normalizer",
-    "request_normalizer.adapter",
-    "runtime_harness_adapter",
-    "runtime_harness_adapter.bridge",
-    "tool_protocol_adapter",
-    "tool_protocol_adapter.bridge",
-    "toolspec_bridge",
-    "toolspec_bridge.adapter",
-    "toolspec_head",
-    "toolspec_head.param_schema_adapter",
-    "toolspec_head.postcondition_adapter",
-    "toolspec_head.precondition_adapter",
-    "toolspec_head.receipt_formatter",
-    "toolspec_head.trigger_gate",
-    "toolspec_head.validator_gate",
-    "validator_feedback_bridge",
-    "validator_feedback_bridge.adapter"
-  ],
-  "resolved_target_modules": [
-    "surface_host.request_normalizer.adapter",
-    "surface_host.runtime_harness_adapter.bridge",
-    "surface_host.tool_protocol_adapter.bridge",
-    "surface_host.toolspec_bridge.adapter",
-    "surface_host.toolspec_head.param_schema_adapter",
-    "surface_host.toolspec_head.postcondition_adapter",
-    "surface_host.toolspec_head.precondition_adapter",
-    "surface_host.toolspec_head.receipt_formatter",
-    "surface_host.toolspec_head.trigger_gate",
-    "surface_host.toolspec_head.validator_gate",
-    "surface_host.validator_feedback_bridge.adapter"
-  ],
-  "selected_target_modules": [
-    "request_normalizer",
-    "request_normalizer.adapter",
-    "runtime_harness_adapter",
-    "runtime_harness_adapter.bridge",
-    "tool_protocol_adapter",
-    "tool_protocol_adapter.bridge",
-    "toolspec_bridge",
-    "toolspec_bridge.adapter",
-    "toolspec_head",
-    "toolspec_head.param_schema_adapter",
-    "toolspec_head.postcondition_adapter",
-    "toolspec_head.precondition_adapter",
-    "toolspec_head.receipt_formatter",
-    "toolspec_head.trigger_gate",
-    "toolspec_head.validator_gate",
-    "validator_feedback_bridge",
-    "validator_feedback_bridge.adapter"
-  ],
-  "status": "trained",
-  "tool_vocab": [
-    "apply_patch_bundle",
-    "browser_search",
-    "repo_reverse_engineer",
-    "run_ci_validation",
-    "self_check_repair_loop"
-  ],
-  "train_metrics": {
-    "adapter_exported": true,
-    "auto_lora_from_ia3": false,
-    "best_epoch": 4,
-    "best_quality_score": 0.46349615617231893,
-    "epochs_completed": 5,
-    "loss": 0.42175399448190415,
-    "micro_batches": 70,
-    "micro_batches_total": 350,
-    "optimizer_steps": 5,
-    "optimizer_steps_total": 25,
-    "peft_method": "lora_narrow",
-    "used_peft": true
-  },
-  "unresolved_target_modules": [],
-  "used_peft": true
-}