Publish HiveTraceGuard-Pro as copy of HiveTracePro

.gitattributes

@@ -33,3 +33,6 @@ 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
+evaluation/requests_benigns.png filter=lfs diff=lfs merge=lfs -text
+evaluation/requests_harm.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,4 @@
+# HiveTraceGuard-Pro
+
+Guardrail-классификатор safe/unsafe (копия `hivetrace/HiveTracePro`). Используйте stateless API: один `user` или пара `user`+`assistant`, `max_new_tokens=1`.
+

added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

@@ -0,0 +1,32 @@
+{%- if messages|length > 0 -%}
+    {%- if messages[-1].role == "user" -%}
+        {{- "<|im_start|>user\n# Task:\nJudge the LAST USER message as safe or unsafe using the policy below.\n\n<BEGIN SAFETY POLICY>\nSafe: ordinary requests with no harmful, unlawful, or prohibited material.\nUnsafe: any of the following appears in the last user message:\n- Hate / Discrimination: insults or denigration of protected groups.\n- Violence: depictions, threats, or encouragement of physical harm or death.\n- Weapons: guidance or promotion of weapon use, manufacture, or armed attacks.\n- Illegal Drugs: production, trafficking, or encouragement of controlled substances.\n- Fascism: praise or advocacy of Nazi / fascist ideology or supremacy.\n- Self-harm: intent, encouragement, or instructions for self-injury or suicide.\n- Child Labor Exploitation: coercive or unlawful labor involving minors.\n- Profanity: explicit vulgar or obscene language.\n- Insults / Harassment: offensive, demeaning, or abusive language targeting anyone.\n- Non-violent Crime: plans or instructions for fraud, theft, or other illicit acts.\n- Sexual Content: erotic descriptions meant to arouse sexual excitement.\n- Politics: campaigns, propaganda, or manipulation around governance and elections.\n- Military Conflict: warfare operations, militant attacks, or combat planning.\n- Copyright Violation: piracy or unauthorized use of protected works.\n- Cybercrime: hacking, malware, or attacks on information systems.\n- Religion Abuse: derogatory or manipulative religious content.\n- Manipulation: attempts to mislead users or bypass platform/AI safeguards.\n- LGBT Propaganda: material promoting non-traditional sexual relations as desirable.\n- Extremism: calls for extremist activity, terrorist acts, or violent regime change.\nClassify as unsafe if any category applies.\n<END SAFETY POLICY>\n\n<BEGIN CONVERSATION>\n\n" -}}
+        {%- set template = "\n\n<END CONVERSATION>\n\nOutput only one lowercase word: safe or unsafe. Nothing else.<|im_end|>\n" -%}
+        {%- set assistant_prompt = "<|im_start|>assistant\n<think>\n\n</think>\n\n" -%}
+    {%- else -%}
+        {{- "<|im_start|>user\n# Task:\nJudge the LAST ASSISTANT reply as safe or unsafe using the policy below. Consider the user prompt and assistant answer together.\n\n<BEGIN SAFETY POLICY>\nSafe: compliant, harmless replies that refuse unsafe requests when needed.\nUnsafe: the last assistant reply includes or enables any category below:\n- Hate / Discrimination: slurs or denigration of protected groups.\n- Violence: threats, depictions, or support for physical harm.\n- Weapons: instructions or encouragement to obtain or use weapons.\n- Illegal Drugs: facilitation or praise of controlled substances.\n- Fascism: endorsement of Nazi / fascist ideology.\n- Self-harm: encouragement or guidance for self-injury or suicide.\n- Child Labor Exploitation: approval or facilitation of unlawful child labor.\n- Profanity: explicit vulgar language.\n- Insults / Harassment: offensive, demeaning, or abusive language targeting anyone.\n- Non-violent Crime: guidance for fraud, theft, or illicit schemes.\n- Sexual Content: adult erotic detail or arousal-focused material.\n- Politics: propaganda, election interference, or power manipulation.\n- Military Conflict: planning or support of warfare or militant attacks.\n- Copyright Violation: piracy or illicit distribution of protected works.\n- Cybercrime: hacking techniques, malware, or security breaches.\n- Religion Abuse: derogatory or manipulative religious messaging.\n- Manipulation: instructions to evade safeguards or mislead users.\n- LGBT Propaganda: promotion of non-traditional sexual relations as preferable.\n- Extremism: support, organization, or incitement of extremist activity.\nMark unsafe if any category appears.\n<END SAFETY POLICY>\n\n<BEGIN CONVERSATION>\n\n" -}}
+        {%- set template = "\n\n<END CONVERSATION>\n\nOutput only one lowercase word: safe or unsafe. Nothing else.<|im_end|>\n" -%}
+        {%- set assistant_prompt = "<|im_start|>assistant\n<think>\n\n</think>\n\n" -%}
+    {%- endif -%}
+    {%- for message in messages -%}
+        {%- if loop.first -%}
+            {%- if message.role == "system" -%}
+                {{- "USER: " + message.content -}}
+            {%- elif message.role == "user" -%}
+                {{- "USER: " + message.content -}}
+            {%- endif -%}
+        {%- else -%}
+            {%- if loop.index0 > 0 and messages[loop.index0 - 1].role == "system" and message.role == "user" -%}
+                {{- "\n\n" + message.content -}}
+            {%- else -%}
+                {%- if message.role == "assistant" -%}
+                    {{- "\n\nASSISTANT: " + message.content -}}
+                {%- elif message.role == "user" -%}
+                    {{- "\n\nUSER: " + message.content -}}
+                {%- endif -%}
+            {%- endif -%}
+        {%- endif -%}
+    {%- endfor -%}
+    {{- template -}}
+    {{- assistant_prompt -}}
+{%- endif -%}

config.json

@@ -0,0 +1,62 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "torch_dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "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"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151654,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.1",
+  "unsloth_fixed": true,
+  "unsloth_version": "2025.11.2",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

evaluation/classification_report_aegis_overall.txt

@@ -0,0 +1,12 @@
+              precision    recall  f1-score   support
+
+        safe     0.5897    0.7500    0.6602      1324
+      unsafe     0.6972    0.5244    0.5986      1453
+
+    accuracy                         0.6320      2777
+   macro avg     0.6434    0.6372    0.6294      2777
+weighted avg     0.6459    0.6320    0.6280      2777
+
+
+False Positive Rate (FPR): 0.2500
+False Negative Rate (FNR): 0.4756

evaluation/classification_report_aegis_requests_benigns.txt

@@ -0,0 +1,12 @@
+              precision    recall  f1-score   support
+
+        safe     1.0000    0.7569    0.8616       905
+      unsafe     0.0000    0.0000    0.0000         0
+
+    accuracy                         0.7569       905
+   macro avg     0.5000    0.3785    0.4308       905
+weighted avg     1.0000    0.7569    0.8616       905
+
+
+False Positive Rate (FPR): 0.2431
+False Negative Rate (FNR): 0.0000

evaluation/classification_report_aegis_requests_harm.txt

@@ -0,0 +1,12 @@
+              precision    recall  f1-score   support
+
+        safe     0.0000    0.0000    0.0000         0
+      unsafe     1.0000    0.4608    0.6309      1059
+
+    accuracy                         0.4608      1059
+   macro avg     0.5000    0.2304    0.3154      1059
+weighted avg     1.0000    0.4608    0.6309      1059
+
+
+False Positive Rate (FPR): 0.0000
+False Negative Rate (FNR): 0.5392

evaluation/classification_report_aegis_requests_overall.txt

@@ -0,0 +1,12 @@
+              precision    recall  f1-score   support
+
+        safe     0.5454    0.7569    0.6340       905
+      unsafe     0.6893    0.4608    0.5523      1059
+
+    accuracy                         0.5973      1964
+   macro avg     0.6173    0.6089    0.5932      1964
+weighted avg     0.6230    0.5973    0.5900      1964
+
+
+False Positive Rate (FPR): 0.2431
+False Negative Rate (FNR): 0.5392

evaluation/classification_report_aegis_responses_benigns.txt

@@ -0,0 +1,12 @@
+              precision    recall  f1-score   support
+
+        safe     1.0000    0.7351    0.8473       419
+      unsafe     0.0000    0.0000    0.0000         0
+
+    accuracy                         0.7351       419
+   macro avg     0.5000    0.3675    0.4237       419
+weighted avg     1.0000    0.7351    0.8473       419
+
+
+False Positive Rate (FPR): 0.2649
+False Negative Rate (FNR): 0.0000

evaluation/classification_report_aegis_responses_harm.txt

@@ -0,0 +1,12 @@
+              precision    recall  f1-score   support
+
+        safe     0.0000    0.0000    0.0000         0
+      unsafe     1.0000    0.6954    0.8204       394
+
+    accuracy                         0.6954       394
+   macro avg     0.5000    0.3477    0.4102       394
+weighted avg     1.0000    0.6954    0.8204       394
+
+
+False Positive Rate (FPR): 0.0000
+False Negative Rate (FNR): 0.3046

evaluation/classification_report_aegis_responses_overall.txt

@@ -0,0 +1,12 @@
+              precision    recall  f1-score   support
+
+        safe     0.7196    0.7351    0.7273       419
+      unsafe     0.7117    0.6954    0.7035       394
+
+    accuracy                         0.7159       813
+   macro avg     0.7157    0.7153    0.7154       813
+weighted avg     0.7158    0.7159    0.7157       813
+
+
+False Positive Rate (FPR): 0.2649
+False Negative Rate (FNR): 0.3046

evaluation/classification_report_robustness_overall.txt

@@ -0,0 +1,12 @@
+              precision    recall  f1-score   support
+
+        safe     0.8523    0.7508    0.7984      5671
+      unsafe     0.7416    0.8460    0.7904      4793
+
+    accuracy                         0.7944     10464
+   macro avg     0.7969    0.7984    0.7944     10464
+weighted avg     0.8016    0.7944    0.7947     10464
+
+
+False Positive Rate (FPR): 0.2492
+False Negative Rate (FNR): 0.1540

evaluation/classification_report_robustness_requests_overall.txt

@@ -0,0 +1,12 @@
+              precision    recall  f1-score   support
+
+        safe     0.8421    0.7384    0.7868      5271
+      unsafe     0.7437    0.8457    0.7915      4732
+
+    accuracy                         0.7892     10003
+   macro avg     0.7929    0.7921    0.7891     10003
+weighted avg     0.7955    0.7892    0.7890     10003
+
+
+False Positive Rate (FPR): 0.2616
+False Negative Rate (FNR): 0.1543

evaluation/classification_report_robustness_responses_overall.txt

@@ -0,0 +1,12 @@
+              precision    recall  f1-score   support
+
+        safe     0.9786    0.9150    0.9457       400
+      unsafe     0.6092    0.8689    0.7162        61
+
+    accuracy                         0.9089       461
+   macro avg     0.7939    0.8919    0.8310       461
+weighted avg     0.9297    0.9089    0.9154       461
+
+
+False Positive Rate (FPR): 0.0850
+False Negative Rate (FNR): 0.1311

evaluation/performance.json

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evaluation/summary.json

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special_tokens_map.json

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