Publish validated BF16 teacher traces with provenance, splits and native exports

.gitattributes

@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+native/examples.jsonl filter=lfs diff=lfs merge=lfs -text

LICENSE.md

@@ -0,0 +1,10 @@
+# Component licenses
+
+This mixed collection does not replace its upstream component licenses.
+
+- Records with `source_dataset = openai/grade-school-math`: underlying prompts from OpenAI's GSM8K, MIT; see [full MIT notice](licenses/GSM8K-MIT.txt).
+- Records with `source_dataset = glaiveai/glaive-function-calling-v2`: underlying conversation/tool material from Glaive AI, Apache-2.0; see [full Apache text](licenses/Apache-2.0.txt) and [source card](provenance/glaive-source-card.md).
+- Newly contributed release packaging and generated continuations: Apache-2.0, to the extent thenukegun10x holds rights in those contributions. Copyright 2026 thenukegun10x. Upstream notices remain applicable to source material embedded in or reproduced by a continuation.
+- Copied teacher chat template and model license reference: [LFM Open License](licenses/LFM-Open-License.txt). No model weights are included.
+
+See NOTICE.md for exact source revisions, links, and modifications. Per-row `source_license` identifies the underlying dataset source; it is not a blanket statement about all components.

NOTICE.md

@@ -0,0 +1,9 @@
+# Attribution and modifications
+
+OpenAI: [GSM8K / grade-school-math](https://github.com/openai/grade-school-math), revision `3101c7d5072418e28b9008a6636bde82a006892c`, original `grade_school_math/data/train.jsonl`, MIT. The complete upstream MIT copyright and permission notice is retained in `licenses/GSM8K-MIT.txt`. Background: [Training Verifiers to Solve Math Word Problems](https://arxiv.org/abs/2110.14168).
+
+Glaive AI: [glaive-function-calling-v2](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2/tree/e7f4b6456019f5d8bcb991ef0dd67d8ff23221ac), revision `e7f4b6456019f5d8bcb991ef0dd67d8ff23221ac`, Apache-2.0 as declared by the source card. The source card is retained in `provenance/glaive-source-card.md`.
+
+Modifications by thenukegun10x: selected and screened source tasks; added a numeric-answer instruction to math prompts; normalized conversation/tool representations; retained source clarification context where present; replaced target continuations with independently generated Liquid AI BF16 teacher reasoning plus verified answers/calls; made grouped train/validation splits; rendered and tokenized the accepted data; created this Parquet release and documentation. The generated continuations are not original OpenAI/Glaive reference explanations.
+
+Teacher and formatting template: Liquid AI, [LFM2.5-24B-A2B](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B/tree/1769516ac588c4c558089c94f27d96b0dc67b183), revision `1769516ac588c4c558089c94f27d96b0dc67b183`. The template is copied unmodified, with its upstream license retained.

README.md

@@ -0,0 +1,109 @@
+---
+language:
+- en
+task_categories:
+- text-generation
+size_categories:
+- 1K<n<10K
+tags:
+- synthetic
+- reasoning
+- distillation
+- tool-calling
+- lfm
+- bf16
+pretty_name: LFM2.5-24B-A2B BF16 Reasoning Traces
+license: other
+source_datasets:
+- openai/gsm8k
+- glaiveai/glaive-function-calling-v2
+configs:
+- config_name: all
+  data_files:
+  - split: train
+    path:
+    - data/math/train.parquet
+    - data/single_tool/train.parquet
+  - split: validation
+    path:
+    - data/math/validation.parquet
+    - data/single_tool/validation.parquet
+  default: true
+- config_name: math
+  data_files:
+  - split: train
+    path:
+    - data/math/train.parquet
+  - split: validation
+    path:
+    - data/math/validation.parquet
+- config_name: single_tool
+  data_files:
+  - split: train
+    path:
+    - data/single_tool/train.parquet
+  - split: validation
+    path:
+    - data/single_tool/validation.parquet
+license_name: mit-and-apache-2.0-components
+license_link: LICENSE.md
+---
+
+# LFM2.5-24B-A2B BF16 Reasoning Traces
+
+**1,242 accepted teacher reasoning conversations: 605 GSM8K math examples and 637 Glaive single-tool examples.** Every accepted target has a separate reasoning trace. This preserves the original mixed reasoning batch; it is not an all-math collection. The companion [parallel-tool dataset](https://huggingface.co/datasets/thenukegun10x/LFM2.5-24B-A2B-BF16-Parallel-Tool-Traces) contains a separate 1,200-example collection.
+
+The original candidate bank contained 10,000 tasks (5,000 from each source). A bounded collection produced these 1,242 accepted records; not all bank tasks were attempted. GSM8K prompts came only from the original training split. Original test questions were used only for exclusion screening and are not published here. Glaive examples use the first labelled single tool call and preserve any earlier clarification turns. Prior history is not a newly generated reasoning target.
+
+The collection was designed for short-context syntax/reasoning recovery. Its topic coverage is limited to grade-school math and synthetic single-tool selection, not broad general reasoning. There are **392,210 scored tokens**, with no truncation and a maximum permitted context of 2,048 tokens.
+
+| Subset | Train | Validation | Total |
+|---|---:|---:|---:|
+| `math` | 535 | 70 | 605 |
+| `single_tool` | 574 | 63 | 637 |
+| `all` | 1,109 | 133 | 1,242 |
+
+## Generation and verification
+
+The teacher was [LiquidAI/LFM2.5-24B-A2B](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B), pinned to revision `1769516ac588c4c558089c94f27d96b0dc67b183`, running in **BF16 without weight quantization** on a Modal NVIDIA H100 80GB worker. The collection runtime used vLLM 0.21.0 and PyTorch 2.11.0+cu130. These are generated teacher continuations, not human-written explanations.
+
+The native generation prompt supplied the opening `<think>` tag. Accepted continuations supplied one closing `</think>` tag and a complete final answer or native tool-call block. The exported `text` includes the complete prompt and both thinking boundaries. Generation was not forced to emit reference-answer text and did not use a constrained output grammar. Ground-truth labels were used for rejection checks, not included in the user prompt.
+
+Automatic checks validate the final numeric answer or exact typed tool names and arguments, native syntax, tool schemas, explicit calculation annotations when present, completion boundaries, and context length. **They do not prove every sentence of reasoning or every upstream source label.** Ordinary arithmetic written outside explicit calculation annotations is not exhaustively verified. Tools were not executed; there are no invented tool results. This is a training/distillation collection, not a new independent benchmark.
+
+## Format and use
+
+```python
+from datasets import load_dataset
+import json
+
+ds = load_dataset("thenukegun10x/LFM2.5-24B-A2B-BF16-Reasoning-Traces", "all")
+row = ds["train"][0]
+tools = json.loads(row["tools"])
+messages = row["messages"]
+for message in messages:
+    for call in message["tool_calls"]:
+        call["function"]["arguments"] = json.loads(call["function"]["arguments"])
+```
+
+`reasoning` and `answer` expose the final assistant turn directly; `messages` preserves the complete conversation, including any earlier clarification turns. In Parquet, `tools`, `source_metadata`, and `provenance` are JSON strings, and each function's `arguments` is a JSON string. This keeps heterogeneous API schemas and argument types compatible with Arrow and the dataset viewer. Decode those fields with `json.loads` for structured use. No argument types or values are intentionally changed.
+
+`text` is the original model-native rendered training text, with `<think>...</think>` and, for tool examples, `<|tool_call_start|>[function(...), ...]<|tool_call_end|>`. It is not a generic model's chat template. When adapting these traces to another model, use that model's template and preserve the distinction between reasoning and the final answer/calls.
+
+The public `validation` split is the existing local `development` split, renamed without moving any rows. It is not the original source benchmark test split. Source groups do not cross the released train/validation boundary.
+
+The following additional downloads preserve the frozen preparation artifacts:
+
+- `native/conversations.jsonl`: original structured records, including dictionary arguments and full tool definitions.
+- `native/examples.jsonl`: original rendered examples, token IDs, loss masks, and per-token parts, in original row order.
+- `tokenized/recovery2048.npz`: `ids` (int32), `mask` (bool), and `split` (uint8; 0=train, 1=validation), padded to 2048 tokens. Rows align with `native/examples.jsonl`, not the subset-sorted Parquet files. False mask positions exclude prompts/history/padding from scored loss.
+- `native/chat_template.jinja`: teacher-native formatting reference, accompanied by the teacher license.
+- `provenance/original_preparation_manifest.json`, `provenance/release_audit.json`, and `SHA256SUMS`: source integrity and release checks.
+
+These are token/continuation datasets. No teacher logits or probability cache are included, and this release did not start QAD training. The archived preparation manifest's pending-teacher-targets stage refers to a possible later logits/distillation pass, not missing conversation records in this release.
+
+## Attribution and terms
+
+GSM8K source material is MIT-licensed by OpenAI; Glaive source material is Apache-2.0-licensed by Glaive AI. The repository uses component licensing, with the source license attached to each record. Newly contributed packaging and generated continuations are offered under Apache-2.0 to the extent the publisher holds rights in them, subject to the retained upstream terms.
+
+Liquid AI is the teacher model author. The teacher model and the copied chat template have their own [LFM Open License](licenses/LFM-Open-License.txt); this release does not distribute model weights. Dataset source licenses are recorded per row and are not replaced by the teacher license. See [LICENSE.md](LICENSE.md) and [NOTICE.md](NOTICE.md) for the component terms and modification notices. This is a community release by thenukegun10x, without endorsement by the source dataset or model authors.

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licenses/Apache-2.0.txt

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+END OF TERMS AND CONDITIONS

native/chat_template.jinja

@@ -0,0 +1,125 @@
+{{- bos_token -}}
+{%- set preserve_thinking = preserve_thinking | default(false) -%}
+
+{%- macro format_arg_value(arg_value) -%}
+    {%- if arg_value is string -%}
+        {{- "'" + (arg_value | replace("\\", "\\\\") | replace("'", "\\'") | replace("\n", "\\n") | replace("\r", "\\r")) + "'" -}}
+    {%- elif arg_value is mapping or arg_value is iterable -%}
+        {{- arg_value | tojson -}}
+    {%- else -%}
+        {{- arg_value | string -}}
+    {%- endif -%}
+{%- endmacro -%}
+
+{%- macro parse_content(content) -%}
+    {%- if content is string -%}
+        {{- content -}}
+    {%- elif content is mapping -%}
+        {{- content | tojson -}}
+    {%- elif content is iterable -%}
+        {%- set _ns = namespace(result="") -%}
+        {%- for item in content -%}
+            {%- if item is string -%}
+                {%- set _ns.result = _ns.result + item -%}
+            {%- elif item is mapping and item.get("type") == "image" -%}
+                {%- set _ns.result = _ns.result + "<image>" -%}
+            {%- elif item is mapping and item.get("type") == "text" -%}
+                {%- set _ns.result = _ns.result + ((item.get("text") or "") | string) -%}
+            {%- else -%}
+                {%- set _ns.result = _ns.result + (item | tojson) -%}
+            {%- endif -%}
+        {%- endfor -%}
+        {{- _ns.result -}}
+    {%- endif -%}
+{%- endmacro -%}
+
+{%- macro render_tool_calls(tool_calls) -%}
+    {%- set tool_calls_ns = namespace(tool_calls=[]) -%}
+    {%- for tool_call in tool_calls -%}
+        {%- set func = tool_call["function"] if "function" in tool_call else tool_call -%}
+        {%- set func_name = func["name"] -%}
+        {%- set func_args = func.get("arguments") -%}
+        {%- set args_ns = namespace(arg_strings=[]) -%}
+        {%- if func_args is mapping -%}
+            {%- for arg_name, arg_value in func_args.items() -%}
+                {%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + "=" + format_arg_value(arg_value)] -%}
+            {%- endfor -%}
+        {%- elif func_args is string and (func_args | trim) not in ["", "{}", "null"] -%}
+            {{- raise_exception("Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template") -}}
+        {%- endif -%}
+        {%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + "(" + (args_ns.arg_strings | join(", ")) + ")"] -%}
+    {%- endfor -%}
+    {{- "<|tool_call_start|>[" + (tool_calls_ns.tool_calls | join(", ")) + "]<|tool_call_end|>" -}}
+{%- endmacro -%}
+
+{%- set ns = namespace(system_prompt="", last_user_index=-1) -%}
+{%- if messages and messages[0]["role"] == "system" -%}
+    {%- if messages[0].get("content") -%}
+        {%- set ns.system_prompt = parse_content(messages[0]["content"]) -%}
+    {%- endif -%}
+    {%- set messages = messages[1:] -%}
+{%- endif -%}
+{%- if tools -%}
+    {%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: [" -%}
+    {%- for tool in tools -%}
+        {%- if tool is not string -%}
+            {%- set tool = tool | tojson -%}
+        {%- endif -%}
+        {%- set ns.system_prompt = ns.system_prompt + tool -%}
+        {%- if not loop.last -%}
+            {%- set ns.system_prompt = ns.system_prompt + ", " -%}
+        {%- endif -%}
+    {%- endfor -%}
+    {%- set ns.system_prompt = ns.system_prompt + "]" -%}
+{%- endif -%}
+{%- if ns.system_prompt -%}
+    {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
+{%- endif -%}
+{%- for message in messages -%}
+    {%- if message["role"] == "user" -%}
+        {%- set ns.last_user_index = loop.index0 -%}
+    {%- endif -%}
+{%- endfor -%}
+{%- for message in messages -%}
+    {{- "<|im_start|>" + message.role + "\n" -}}
+    {%- if message.role == "assistant" -%}
+        {%- generation -%}
+        {%- set keep_thinking = preserve_thinking or loop.index0 > ns.last_user_index -%}
+        {%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%}
+        {%- set thinking = thinking if thinking is string else "" -%}
+        {%- if thinking and keep_thinking -%}
+            {{- "<think>" + thinking + "</think>" -}}
+        {%- endif -%}
+        {%- set _cfm_tag = "CONTINUE_FINAL_MESSAGE_TAG " -%}
+        {%- set _has_cfm = false -%}
+        {%- set content = "" -%}
+        {%- if message.get("content") -%}
+            {%- set content = parse_content(message.content) -%}
+        {%- endif -%}
+        {%- if not keep_thinking and "</think>" in content -%}
+            {%- set content = content.split("</think>")[-1] | trim -%}
+        {%- endif -%}
+        {%- if content.endswith(_cfm_tag) -%}
+            {%- set _has_cfm = true -%}
+            {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}
+            {%- set content = content[:_trunc_len] -%}
+        {%- endif -%}
+        {{- content -}}
+        {%- if message.tool_calls -%}
+            {{- render_tool_calls(message.tool_calls) -}}
+        {%- endif -%}
+        {%- if _has_cfm -%}
+            {{- _cfm_tag -}}
+        {%- endif -%}
+        {{- "<|im_end|>\n" -}}
+        {%- endgeneration -%}
+    {%- else %}
+        {%- if message.get("content") -%}
+            {{- parse_content(message["content"]) -}}
+        {%- endif -%}
+        {{- "<|im_end|>\n" -}}
+    {%- endif %}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{- "<|im_start|>assistant\n<think>" -}}
+{%- endif -%}

native/examples.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:60054efed0866a7983872abed41645b31135dc1cf889b733fca2516819392410
+size 18394073

provenance/glaive-source-card.md

@@ -0,0 +1,9 @@
+---
+license: apache-2.0
+task_categories:
+- text-generation
+language:
+- en
+size_categories:
+- 100K<n<1M
+---

provenance/original_preparation_manifest.json

@@ -0,0 +1,24 @@
+{
+  "stage": "candidates_pending_review_and_new_original_24b_teacher_targets",
+  "cloud_profile_sha256": "ca5a61ee8e83f889a0ec51e5739336e32574f781e03d139d8173bc50f7a5a09a",
+  "cloud_run_id": "full-d2ee3bcb57c7460c",
+  "model_revision": "1769516ac588c4c558089c94f27d96b0dc67b183",
+  "conversations": 1242,
+  "assistant_prefix_rows": 1242,
+  "maximum_context": 2048,
+  "splits": {
+    "development": 133,
+    "train": 1109
+  },
+  "scored_tokens": 392210,
+  "overlength_conversations": [],
+  "truncated_rows": 0,
+  "holdout_rows": 0,
+  "teacher_cache_created": false,
+  "training_started": false,
+  "files_sha256": {
+    "conversations.jsonl": "80c11bab9ff8ce9091023c3f3ba83a682299fbb5d550665b8335148e47752961",
+    "examples.jsonl": "60054efed0866a7983872abed41645b31135dc1cf889b733fca2516819392410",
+    "recovery2048.npz": "d62e35081ac597e57d17930630c054fde918f8c3ce6f3fc8eb332941605baf60"
+  }
+}

provenance/release_audit.json

@@ -0,0 +1,38 @@
+{
+  "release_version": "1.0.0",
+  "release_date": "2026-10-19",
+  "repo_id": "thenukegun10x/LFM2.5-24B-A2B-BF16-Reasoning-Traces",
+  "passed": true,
+  "conversations": 1242,
+  "by_subset_split": {
+    "math/train": 535,
+    "math/validation": 70,
+    "single_tool/train": 574,
+    "single_tool/validation": 63
+  },
+  "source_datasets": {
+    "openai/grade-school-math": 605,
+    "glaiveai/glaive-function-calling-v2": 637
+  },
+  "calls": 637,
+  "scored_tokens": 392210,
+  "context_tokens": {
+    "min": 100,
+    "max": 1798
+  },
+  "original_manifest_hashes_match": {
+    "conversations.jsonl": true,
+    "examples.jsonl": true,
+    "recovery2048.npz": true
+  },
+  "native_target_reference_checks_passed": 1242,
+  "json_argument_type_roundtrips_passed": 1242,
+  "parquet_row_roundtrips_passed": 1242,
+  "npz_row_alignment_checks_passed": 1242,
+  "train_validation_group_overlap": 0,
+  "truncated_rows": 0,
+  "teacher_model": "LiquidAI/LFM2.5-24B-A2B",
+  "teacher_revision": "1769516ac588c4c558089c94f27d96b0dc67b183",
+  "teacher_dtype": "bfloat16",
+  "verification_scope": "Final numeric answer or exact typed calls; native boundaries, schemas and explicit calculation annotations. Not a proof of all reasoning prose or source labels."
+}

tokenized/recovery2048.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d62e35081ac597e57d17930630c054fde918f8c3ce6f3fc8eb332941605baf60
+size 634030