Upload private Compass v2 model batch 1/3

ATTRIBUTIONS.md

@@ -0,0 +1,17 @@
+# Source attributions and project restrictions
+
+Base: OpenBMB MiniCPM5-2B, revision 3497c460c89e00520c3cfa2e73f49ab7647f1177,
+Apache-2.0. https://huggingface.co/openbmb/MiniCPM5-2B
+Modified by WebBrain through LoRA training and full-model merging.
+Original authors do not endorse this derived release.
+
+Training dataset: https://huggingface.co/datasets/webbrain-one/webbrain-compass-v2-dataset
+Preserve the source attributions, manifests and restrictions in that private repository.
+WebLINX: McGill-NLP contributors, CC BY-NC-SA 4.0.
+https://huggingface.co/datasets/McGill-NLP/weblinx
+https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.en
+
+Project policy restricts this derived model to noncommercial research. Preserve
+all source terms, attribution and applicable share-alike obligations. Private
+hosting does not grant commercial rights. This is an experimental release with
+a disclosed failed behavioral gate, not a claim of general safety or success.

LICENSE-BASE-APACHE-2.0.txt

@@ -0,0 +1,202 @@
+
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README.md

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+---
+license: other
+license_name: webbrain-noncommercial-research-restrictions
+license_link: https://huggingface.co/webbrain-one/webbrain-compass-v2/blob/main/ATTRIBUTIONS.md
+library_name: transformers
+base_model: openbmb/MiniCPM5-2B
+tags:
+- experimental
+- web-agent
+- tool-calling
+- lora-merged
+- bf16
+---
+# WebBrain Compass v2 — experimental private BF16
+
+Full merged model weights, **not an adapter**. This experimental release was
+explicitly authorized after disclosure of a failed behavioral gate. It is NOT
+a release that passed every v4 gate. Do not deploy unattended browser actions
+on the strength of these small-suite results.
+
+## Training and representation
+
+Base: OpenBMB MiniCPM5-2B, revision
+`3497c460c89e00520c3cfa2e73f49ab7647f1177`. One epoch, 7,311 training examples,
+213 validation examples, 457 optimizer steps. LoRA r16/alpha32 deltas were
+accumulated in FP32 and parameters cast once to BF16. Native nonpersistent
+rotary-position buffers remain FP32, as in stock Transformers loading.
+No optimizer, RNG state or training examples are included here.
+
+## Candidate-specific evaluation
+
+| Metric | This merged BF16 | Native adapter | Historical Qwen3.8-27B |
+|---|---:|---:|---:|
+| Structured first turn | 94/100 | 93/100 | 99/100 |
+| Strict tool and arguments | 16/89 | 15/89 | 17/89 |
+| Loose tool/name credit | 41/89 (46.1%) | 43/89 (48.3%) | 39/89 (43.8%) |
+
+Eleven out-of-scope cases are skipped; all other cases, including technical
+errors, stay in the 89-case denominator. This BF16 run had one known
+anti-pattern, zero HTTP/runner errors or timeouts, and **one malformed XML
+response**. The parse failure was not repaired or regraded. The native-adapter
+run had one timeout, retained in its score.
+
+**Failed v4 gate: loose >=43/89; observed 41/89.** Other aggregate v4 gates
+passed. The user accepted an experimental/private distribution with this
+limitation disclosed; neither the failed gate nor the original evidence was
+changed. This is separate from numerical weight/reload verification.
+
+All 193 frozen input/code hashes and scenario references match between the
+native-adapter and merged-BF16 runs. GPU: RTX 5090; thinking disabled; seed 3407;
+action temperature 0.15, Ask temperature 0.3. No selective retries. These tests
+predict the next response; **browser actions were not executed**, so this is
+not end-to-end task success, general capability equivalence or a safety claim.
+
+Qwen figures are historical results from the
+[public routing comparison](https://www.webbrain.one/blog/compact-tool-routing-models-compared).
+Historical/current byte-identical prompts and tools have not been established.
+The small differences do not establish statistical superiority or parity with
+Qwen's broader capabilities. These are not controlled speed comparisons.
+
+## Numerical validation and preserved failures
+
+All 294 adapted weight deltas were independently checked against the pinned
+raw base and adapter, with unchanged unadapted weights and finite parameters.
+Eight frozen calibration probes passed FP32 merged/unmerged comparisons
+(maximum absolute logit error <=0.001, relative L2 <=0.0001, identical greedy
+tokens). The saved/reloaded BF16 weight bits, config, tokenizer and template
+match; all eight reload logit comparisons had zero error, and corresponding
+KV-cache decode outputs matched.
+
+This is **not numerically identical to unmerged BF16 inference**. Earlier v1/v2
+absolute-logit parity gates failed and remain failed. An earlier v4 reload
+comparison also failed after whole-module casting rounded nonpersistent RoPE
+buffers. An independent diagnostic reproduced that discrepancy exactly by
+changing only those buffers. The frozen v4.2 source casts parameters only and
+preserves FP32 runtime buffers; stored model weight bits are unchanged from
+the earlier v4 candidate. A v4.1 startup attempt failed before inference due
+to Windows source-decoding differences; explicit UTF-8 restored exact frozen
+inputs. None of these failures was deleted or relabeled as a pass.
+
+## Native inference interface
+
+Verified runtime: Transformers 5.16.1, PyTorch 2.13.0+cu130, stock
+`LlamaForCausalLM`, with the included tokenizer and chat template. Load with
+`dtype=torch.bfloat16`; do not cast the whole module afterward, which can
+round native FP32 runtime buffers.
+
+Use `enable_thinking=False` and `add_generation_prompt=True`. Tool-call
+arguments in conversation history must be dictionaries, not JSON strings.
+Output uses native XML, for example
+`<function name="..."><param name="...">...</param></function>`.
+Do not decode using `skip_special_tokens=True`: it removes tool delimiters.
+Remove only terminal EOS token IDs 1 or 130073. Preserve raw outputs and parse
+complete XML; fail closed on malformed output without repairing arguments.
+
+## Access, attribution and restrictions
+
+**Private, experimental, noncommercial/research-only under project policy.**
+The training package includes WebLINX (CC BY-NC-SA 4.0); preserve attribution,
+applicable share-alike requirements and all dataset source obligations.
+The base model is Apache-2.0. Private hosting is not permission for commercial
+use. See ATTRIBUTIONS.md and LICENSE-BASE-APACHE-2.0.txt.
+
+The associated dataset is
+[private](https://huggingface.co/datasets/webbrain-one/webbrain-compass-v2-dataset).
+Release provenance, original failed-gate audit, numerical verification and
+explicit experimental authorization are in `provenance/`.
+ONNX requires separate export/runtime verification; these BF16 results must
+not be claimed as measured ONNX results.

chat_template.jinja

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+{{- bos_token }}{%- if tools %}
+    {%- set tool_definitions %}
+        {{- "# Tools\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+        {%- for tool in tools %}
+            {{- "\n" }}
+            {{- tool | tojson(ensure_ascii=False) }}
+        {%- endfor %}
+        {{- '\n</tools>\n\nTool usage guidelines:\n- You may call zero or more functions. If no function calls are needed, just answer normally and do not include any <function ... </function>.\n- When calling a function, return an XML object within <function ... </function> using:\n<function name="function-name"><param name="param-name">param-value</param></function>\n- param-value may be multi-line. If it contains <, & or newline characters, wrap it in a CDATA block: <param name="param-name"><![CDATA[...multi-line value...]]></param>' }}
+    {%- endset %}
+    
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {%- if '<tool_def_sep>' in messages[0].content %}
+            {{- messages[0].content.replace('<tool_def_sep>', tool_definitions) }}
+        {%- else %}
+            {{- messages[0].content + '\n\n' + tool_definitions }}
+        {%- endif %}
+    {%- else %}
+        {{- tool_definitions.lstrip() }}
+    {%- endif %}
+    {{- '<|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 message.tool_calls %}
+            {%- set content_parts = content.split('<tool_sep>') %}
+            {%- set processed_content = content_parts[0] %}
+            {%- set tool_calls_count = message.tool_calls|length %}
+            {%- set tool_sep_count = content_parts|length - 1 %}
+            {%- set min_count = [tool_calls_count, tool_sep_count]|min %}
+            
+            {%- for i in range(1, content_parts|length) %}
+                {%- set tool_index = i - 1 %}
+                {%- if tool_index < tool_calls_count %}
+                    {%- set tool_call = message.tool_calls[tool_index] %}
+                    {%- if tool_call.function %}
+                        {%- set tool_call = tool_call.function %}
+                    {%- endif %}
+                    {%- set single_tool_xml %}
+                        {{- '<function name="' ~ tool_call.name ~ '">' }}
+                        {%- if tool_call.arguments %}
+                            {%- set args_dict = tool_call.arguments %}
+                            {%- for param_name, param_value in args_dict.items() %}
+                                {{- '<param name="' ~ param_name ~ '">' }}
+                                {%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
+                                    {{- '<![CDATA[' + param_value + ']]>' }}
+                                {%- else %}
+                                    {{- param_value }}
+                                {%- endif %}
+                                {{- '</param>' }}
+                            {%- endfor %}
+                        {%- endif %}
+                        {{- '</function>' }}
+                    {%- endset %}
+                    {%- set processed_content = processed_content + single_tool_xml + content_parts[i] %}
+                {%- else %}
+                    {%- set processed_content = processed_content + content_parts[i] %}
+                {%- endif %}
+            {%- endfor %}
+            
+            {%- if tool_calls_count > tool_sep_count %}
+                {%- for remaining_index in range(tool_sep_count, tool_calls_count) %}
+                    {%- set tool_call = message.tool_calls[remaining_index] %}
+                    {%- if tool_call.function %}
+                        {%- set tool_call = tool_call.function %}
+                    {%- endif %}
+                    {%- set remaining_tool_xml %}
+                        {{- '<function name="' ~ tool_call.name ~ '">' }}
+                        {%- if tool_call.arguments %}
+                            {%- set args_dict = tool_call.arguments %}
+                            {%- for param_name, param_value in args_dict.items() %}
+                                {{- '<param name="' ~ param_name ~ '">' }}
+                                {%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
+                                    {{- '<![CDATA[' + param_value + ']]>' }}
+                                {%- else %}
+                                    {{- param_value }}
+                                {%- endif %}
+                                {{- '</param>' }}
+                            {%- endfor %}
+                        {%- endif %}
+                        {{- '</function>' }}
+                    {%- endset %}
+                    {%- set processed_content = processed_content + remaining_tool_xml %}
+                {%- endfor %}
+            {%- endif %}
+            
+            {%- set content = processed_content %}
+        {%- endif %}
+        
+        {%- if reasoning_content %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+        {%- elif '<think>' not in content and '</think>' not in content %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n\n</think>\n\n' + content.lstrip('\n') }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        
+        {%- if message.tool_calls and not has_tool_sep %}
+            {%- 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 %}
+                {{- '<function name="' ~ tool_call.name ~ '">' }}
+                {%- if tool_call.arguments %}
+                    {%- set args_dict = tool_call.arguments %}
+                    {%- for param_name, param_value in args_dict.items() %}
+                        {{- '<param name="' ~ param_name ~ '">' }}
+                        {%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
+                            {{- '<![CDATA[' + param_value + ']]>' }}
+                        {%- else %}
+                            {{- param_value }}
+                        {%- endif %}
+                        {{- '</param>' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>' }}
+            {%- 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' }}
+        {%- if message.content is string %}
+            {{- content }}
+        {%- else %}
+            {{- message.content | tojson(ensure_ascii=False) }}
+        {%- endif %}
+        {{- '\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 %}
+        {%- if enable_thinking is false %}
+            {{- '<think>\n\n</think>\n\n' }}
+        {%- elif enable_thinking is true %}
+            {{- '<think>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endif %}

config.json

@@ -0,0 +1,35 @@
+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dtype": "bfloat16",
+  "eos_token_id": [
+    1,
+    130073
+  ],
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 42,
+  "num_key_value_heads": 2,
+  "pad_token_id": 1,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 5000000,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "5.16.1",
+  "use_cache": true,
+  "vocab_size": 130560
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