Release direction-specific Qwen2.5-Coder-3B SFT checkpoint

Original exported weights; verified shard inventory; upstream Qwen research license and release documentation.

.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

LICENSE

@@ -0,0 +1,54 @@
+Qwen RESEARCH LICENSE AGREEMENT
+
+Qwen RESEARCH LICENSE AGREEMENT Release Date: September 19, 2024
+
+By clicking to agree or by using or distributing any portion or element of the Qwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately.
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NOTICE

@@ -0,0 +1,6 @@
+Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT, Copyright (c) Alibaba Cloud. All Rights Reserved.
+
+Built with Qwen.
+
+Modification notice: Java to Python SFT checkpoint.
+The released weight shards contain weights modified by full supervised fine-tuning of Qwen/Qwen2.5-Coder-3B. Configuration and tokenizer files are supplied from the training export. README.md is release-specific documentation replacing the training-generated card. No GRPO training stage or benchmark result is asserted by this notice.

README.md

@@ -0,0 +1,97 @@
+---
+library_name: transformers
+license: other
+license_name: qwen-research
+license_link: LICENSE
+base_model: Qwen/Qwen2.5-Coder-3B
+base_model_relation: finetune
+pipeline_tag: text-generation
+tags:
+  - code
+  - code-translation
+  - cleartrans
+  - sft
+  - qwen2
+  - llama-factory
+---
+
+# ClearTrans 3B SFT: Java to Python
+
+Built with Qwen.
+
+This repository releases a full, direction-specific supervised fine-tuning (SFT)
+checkpoint based on [Qwen/Qwen2.5-Coder-3B](https://huggingface.co/Qwen/Qwen2.5-Coder-3B).
+Its translation direction is **Java to Python**.
+
+## Release scope
+
+This checkpoint is provided as part of the ClearTrans artifact release.
+The available checkpoint metadata identifies the training stage as SFT.
+It does not establish that this is a final GRPO-trained checkpoint, and no
+specific manuscript benchmark score is attributed to this checkpoint here.
+The release has passed file-size, tensor-layout, and shard-index checks;
+GPU inference and benchmark reproduction have not been validated for this release.
+
+Implementation and replication scripts: [https://github.com/Xingzhehu/ClearTrans](https://github.com/Xingzhehu/ClearTrans).
+
+## Loading
+
+The training metadata records Transformers 4.57.1 and PyTorch 2.9.1.
+Use a compatible Transformers version and an environment suitable for the hardware.
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "fdsffjdkf/ClearTrans-3B-SFT-Java-to-Python"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id, torch_dtype="auto", device_map="auto"
+)
+model.eval()
+```
+
+The tokenizer and the checkpoint's chat template are included. For reproduction,
+use the original task prompt and decoding configuration for the experiment being
+reproduced. The loading example alone does not specify a benchmark protocol.
+
+## Training metadata
+
+The following settings are copied from the checkpoint's training-generated model
+card. They document the supplied checkpoint rather than a newly executed training run.
+
+- learning_rate: 1e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 64
+- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- num_epochs: 3.0
+
+The original card identifies a direction-specific `train_full_1231_java2python_idx3`
+dataset. Training examples are not included in this model repository; its name
+alone does not verify the dataset provenance or reconstruction procedure.
+
+## Limitations
+
+Generated translations can contain functional errors and code smells. Evaluate
+outputs with the intended tests and analysis tools before relying on them.
+This repository does not include training data, optimizer states, or historical
+evaluation outputs. It is a weight release, not evidence of full numerical
+reproduction of all reported experiments.
+
+## License and changes
+
+The weights are released under the upstream **Qwen Research License Agreement**,
+included in [LICENSE](LICENSE), for non-commercial research or evaluation in
+accordance with that agreement. They are not relicensed under MIT or Apache-2.0.
+See [NOTICE](NOTICE) for attribution and the statement of modifications.
+
+The model weights were modified by full supervised fine-tuning of the upstream
+Qwen2.5-Coder-3B model. The supplied configuration and tokenizer files are retained
+from the training export; this release replaces the automatically generated model
+card and adds release documentation, the upstream license, and attribution notices.

added_tokens.json

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+{
+  "</think>": 151666,
+  "</tool_call>": 151658,
+  "<think>": 151665,
+  "<tool_call>": 151657,
+  "<|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

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# 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' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.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' }}
+{%- endif %}

config.json

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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "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",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 36,
+  "model_type": "qwen2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 2,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.1",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+{
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "max_new_tokens": 2048,
+  "pad_token_id": 151643,
+  "transformers_version": "4.57.1"
+}

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