Upload complete LeanReasoning model

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

EXPORT.json

@@ -0,0 +1,27 @@
+{
+  "source": {
+    "base_sha256": "a09e6071319669ea637b9a43f879ec49f74befd401d9e85b248314afe2bb1e6f",
+    "adapter_sha256": "4577fde047d8bbbed0c838be77efa007402839248e1ebee974d25ffc011b83d7",
+    "checkpoint_manifest_sha256": "7b9d65f4d47338dbce62c28849d2a2fb14139a7b2f09d94c2f896f866df292b6",
+    "dtype": "torch.bfloat16",
+    "merge": "merge_and_unload(safe_merge=True)"
+  },
+  "attention_implementation": "sdpa",
+  "tensor_sha256": "9aeef6382c69bb7997ce3061d0d039c7a8631a112e656f896c8b762728d2c9e8",
+  "files": {
+    "LICENSE": "cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30",
+    "README.md": "9ce0fed41d93d7f55be6a335377c35b4e63992dee61d156356b7f681a19147ea",
+    "added_tokens.json": "c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680",
+    "chat_template.jinja": "a55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8",
+    "config.json": "175de0700ca3b0fb9881238898d0a66d49c2e78aa1d518ffa5f4dc825672b8af",
+    "generation_config.json": "ccd8574aefb7817f05e134730cbd0d75a96d1441aa1abb699758816d4ae33144",
+    "merges.txt": "8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5",
+    "model-00001-of-00002.safetensors": "9b5c2fd51ab13cbf8ee49ce8792f98d7a43449f60947d223c9d98e27e505c536",
+    "model-00002-of-00002.safetensors": "53fade3cf69fabbf3c1528c12cbd3a4cb18daa1695888afab990f02776818a18",
+    "model.safetensors.index.json": "5974b0f15b555b8f68a18ef230110a9ef87ec9772788d40a9c9f15fa264b759f",
+    "special_tokens_map.json": "a36726f7fe394c1324021cac4a9ee3ad6c4f6285c0d98721f9b0b95888ec9905",
+    "tokenizer.json": "aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4",
+    "tokenizer_config.json": "68f2cfe250d0fd2c445bcbeb49183726d6c4dfca493bd10599742410c2fc4a79",
+    "vocab.json": "ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910"
+  }
+}

LICENSE

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

@@ -0,0 +1,39 @@
+---
+base_model: Qwen/Qwen3-1.7B
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- qwen3
+- reasoning-compression
+- merged-lora
+---
+# Reasoning-compressed Qwen3-1.7B — local export candidate
+
+A derivative of Qwen/Qwen3-1.7B incorporating the project's five-update
+`marker_003` LoRA adapter (concise supervised fine-tuning plus a contextual
+unlikelihood penalty of 0.03). Original weights were modified by merging the
+trained adapter in BF16. No additional training occurs during export.
+
+This is a complete Transformers checkpoint, not an adapter-only download.
+The tokenizer and generation configuration are included. The concise instruction
+is NOT encoded as an automatic prompt or guaranteed behaviour.
+
+For the evaluated mathematical configuration, append this exact text to the
+question and use the tokenizer's chat template with enable_thinking=True:
+
+```
+Please reason step by step, and put your final answer within \boxed{}.
+Reason concisely. Avoid repeating calculations or checks that have already confirmed the result.
+```
+
+Sampling: temperature 0.6, top_p 0.95, top_k 20, min_p 0, repetition_penalty 1,
+max_new_tokens 8192, do_sample=True. Evaluation uses Math-Verify final answers.
+
+Evaluation and public release documentation are pending. This export does not
+claim general-purpose improvements or guaranteed accuracy preservation.
+Base model: https://huggingface.co/Qwen/Qwen3-1.7B
+Project: https://github.com/Rufus-Maxwell/Reasoning-Compression
+
+The bundled LICENSE preserves the upstream Apache 2.0 terms. No new release
+licence for the project's modifications has been selected by this export.
+This file is a local release draft, not a publication action.

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

config.json

@@ -0,0 +1,60 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "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,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "4.56.2"
+}

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model.safetensors.index.json

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