Upload loracle_pretrain_sft_v4_sweep_A/step_0002598 (full 1.0-epoch checkpoint)

.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/tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,58 @@
+---
+library_name: peft
+base_model: Qwen/Qwen3-14B
+tags:
+  - loracle
+  - model-organism-auditing
+  - weight-probe
+---
+
+# Loracle — pretrain v4 sweep A, full epoch (step 2598)
+
+A **loracle** is a model that reads another fine-tuned model's LoRA weight deltas (as direction tokens projected into the residual stream) and describes the behaviors encoded in those weights, without running the target model.
+
+This checkpoint is the full-epoch (step 2598 = 1.0 epoch) snapshot of `loracle_pretrain_sft_v4_sweep_A`.
+
+- **Base model**: `Qwen/Qwen3-14B`
+- **Interpreter adapter**: rank-256 PEFT LoRA with rslora=True, α=32
+- **Direction-token input**: 4480-token prefix in `(rank, layer, mag7)` rank-first layout, produced by `extract_svd_fixed_tokens` from any Qwen3-14B LoRA / full-FT / GGUF (via `extract_hf/download_and_extract_hf_models.py`).
+- **Training corpus**: 2500 synthetic pretrain organisms (fineweb + redpajama2 + misc) from `ceselder/loracle-pretrain-qa-v4.1-25k`, one QA pair per organism × 2 = ~5000 training examples.
+- **Hook**: layer-1 AO norm-match injection (`h' = h + ‖h‖ · v̂`).
+- **Prefix mode**: `rank_tagged` (16 `<SVD N:>` markers × 280 placeholder slots per rank).
+
+## wandb run
+
+https://wandb.ai/adamkarvonen/lora-oracles/runs/20tqy8is
+
+## Eval numbers (at step 2598)
+
+*Note: these numbers were collected with BUGGY (pre-reshape-fix) eval tokens. Re-eval against corrected tokens via `src/train_loracle/eval_ckpt.py`.*
+
+- val/loss: 1.907
+- val/mean_all_evals: 32.3%
+- auditbench rollout_mean: 19.9%
+- heldout_ia rollout_mean: 21.1%
+- ood_models_v3 rollout_mean: 14.4%
+- trigger_recovery: 0% (keyword-match judge was too strict; use semantic rubric in newer eval yamls)
+
+## Repo contents
+
+- `interpreter/` — PEFT adapter (load with `PeftModel.from_pretrained(base, "interpreter")`)
+- `tokenizer/` — HF tokenizer (inherits Qwen3-14B's, no vocab extension)
+- `encoder.pt` — AOEncoder state-dict (no learnable params; kept for API symmetry)
+- `ao.pt` — training metadata (step, val_loss, val_mean_all_evals)
+- `loracle_config.yaml` — full training config snapshot
+
+## Loading
+
+```python
+from peft import PeftModel
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B", torch_dtype=torch.bfloat16, device_map="auto")
+model = PeftModel.from_pretrained(base, "ceselder/loracle-pretrain-v4-sweep-A-step2598/interpreter")
+tokenizer = AutoTokenizer.from_pretrained("ceselder/loracle-pretrain-v4-sweep-A-step2598/tokenizer")
+```
+
+See https://github.com/ceselder/loracles for the full inference + eval pipeline.

ao.pt

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+oid sha256:58c27ee85cd4e8f9c9bce11b5dcda886365bcf40208f9e0b7f8c60cce9a2f7a0
+size 1231

encoder.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:69eb35896e1b7986f0e126fe5f43bf45fafcfb2a755c8b15ca775e5cc0a95eaf
+size 1705

interpreter/README.md

@@ -0,0 +1,207 @@
+---
+base_model: /workspace/models/Qwen3-14B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:/workspace/models/Qwen3-14B
+- lora
+- transformers
+---
+
+# 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

interpreter/adapter_config.json

@@ -0,0 +1,50 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "/workspace/models/Qwen3-14B",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": [
+    "vision_tower"
+  ],
+  "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": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "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": 256,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "v_proj",
+    "gate_proj",
+    "q_proj",
+    "up_proj",
+    "o_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": true
+}

interpreter/adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a5c15d3e5256fbbc90ebdcfea834321fdc790c7917407c33da72a11b560a36ca
+size 2055286464

loracle_config.yaml

@@ -0,0 +1,60 @@
+run_name: loracle_pretrain_sft_v4_sweep_A
+checkpoint_dir: checkpoints/loracle_pretrain_sft_v4_sweep_A
+base_model: /workspace/models/Qwen3-14B
+d_model: 5120
+token_dir_kind: svd_fixed_k16_mag7_rankfirst
+n_direction_tokens: 4480
+training_lora_dir: data/pretrain_v4/direction_tokens_svd_fixed_k16_mag7_rankfirst
+prompts_path: data/pretrain_v4/prompts.parquet
+loraqa_path: data/pretrain_v4/qa.parquet
+holdout_ids_path: data/pretrain_v4/holdout_ids.json
+interpreter_rank: 256
+lora_alpha: 32
+batch_size: 1
+lr: 3.0e-05
+warmup_steps: 500
+weight_decay: 0.01
+max_grad_norm: 1.0
+epochs: 1
+max_length: 5500
+bf16: true
+tasks:
+- loraqa
+task_weights: natural
+eval_every_epochs: 0.5
+cross_lora_eval_every_epochs: 0.5
+early_stop_patience: 0
+early_stop_min_delta: 0.0
+judge_evals:
+- enabled: true
+  eval_set: configs/eval_sets/heldout_ia.yaml
+  eval_every_epochs: 0.5
+- enabled: true
+  eval_set: configs/eval_sets/trigger_recovery_heldout_ia.yaml
+  eval_every_epochs: 0.5
+- enabled: true
+  eval_set: configs/eval_sets/auditbench.yaml
+  eval_every_epochs: 0.5
+- enabled: true
+  eval_set: configs/eval_sets/ood_models_v3.yaml
+  eval_every_epochs: 0.5
+judge:
+  model: anthropic/claude-sonnet-4.6
+  max_workers: 16
+  request_timeout_s: 60
+wandb_project: lora-oracles
+wandb_entity: null
+skip_step_0_evals: true
+fineweb_lora_dir: null
+fineweb_summaries_path: null
+fineweb_holdout_ids_path: null
+fineweb_max_train_items: null
+encoder_top_k: 16
+prefix_mode: rank_tagged
+grad_accum_steps: 2
+hook_op: add
+hook_layer: 1
+typed_slots: false
+instruction_preamble: null
+use_system_prompt: false
+lr_schedule: linear

tokenizer/chat_template.jinja

@@ -0,0 +1,89 @@
+{%- 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 %}

tokenizer/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4db438e2290d4165f310ba6755dff7964f6c17c6c2910ccabc6e057fe8383f3f
+size 11422748

tokenizer/tokenizer_config.json

@@ -0,0 +1,29 @@
+{
+  "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": true,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}