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.gitattributes

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+benchmark.png filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,201 @@
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README.md

@@ -0,0 +1,209 @@
+---
+license: apache-2.0
+language:
+- en
+- zh
+pipeline_tag: text-generation
+tags:
+- ERNIE4.5
+library_name: transformers
+---
+
+<div align="center" style="line-height: 1;">
+  <a href="https://ernie.baidu.com/" target="_blank" style="margin: 2px;">
+    <img alt="Chat" src="https://img.shields.io/badge/🤖_Chat-ERNIE_Bot-blue" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+  <a href="https://huggingface.co/baidu" target="_blank" style="margin: 2px;">
+    <img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Baidu-ffc107?color=ffc107&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+  <a href="https://github.com/PaddlePaddle/ERNIE" target="_blank" style="margin: 2px;">
+    <img alt="Github" src="https://img.shields.io/badge/GitHub-ERNIE-000?logo=github&color=0000FF" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+  <a href="https://ernie.baidu.com/blog/ernie4.5" target="_blank" style="margin: 2px;">
+    <img alt="Blog" src="https://img.shields.io/badge/🖖_Blog-ERNIE4.5-A020A0" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+  <a href="https://discord.gg/JPmZXDsEEK" target="_blank" style="margin: 2px;">
+    <img alt="Discord" src="https://img.shields.io/badge/Discord-ERNIE-5865F2?logo=discord&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+  <a href="https://x.com/PaddlePaddle" target="_blank" style="margin: 2px;">
+    <img alt="X" src="https://img.shields.io/badge/X-PaddlePaddle-6080F0"?logo=x&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+</div>
+
+<div align="center" style="line-height: 1;">
+  <a href="#license" style="margin: 2px;">
+    <img alt="License" src="https://img.shields.io/badge/License-Apache2.0-A5de54" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+</div>
+
+# ERNIE-4.5-21B-A3B-Thinking
+
+## Model Highlights
+
+Over the past three months, we have continued to scale the **thinking capability** of ERNIE-4.5-21B-A3B, improving both the **quality and depth** of reasoning, thereby advancing the competitiveness of ERNIE **lightweight models** in complex reasoning tasks. We are pleased to introduce **ERNIE-4.5-21B-A3B-Thinking**, featuring the following key enhancements:
+
+* **Significantly improved performance** on reasoning tasks, including logical reasoning, mathematics, science, coding, text generation, and academic benchmarks that typically require human expertise.
+* **Efficient tool usage** capabilities.
+* **Enhanced 128K long-context understanding** capabilities.
+
+> [!NOTE]
+> Note: This version has an increased thinking length. We strongly recommend its use in highly complex reasoning tasks.
+
+![benchmark](./benchmark.png)
+
+## Model Overview
+
+ERNIE-4.5-21B-A3B-Thinking is a text MoE post-trained model, with 21B total parameters and 3B activated parameters for each token. The following are the model configuration details:
+
+|Key|Value|
+|-|-|
+|Modality|Text|
+|Training Stage|Posttraining|
+|Params(Total / Activated)|21B / 3B|
+|Layers|28|
+|Heads(Q/KV)|20 / 4|
+|Text Experts(Total / Activated)|64 / 6|
+|Vision Experts(Total / Activated)|64 / 6|
+|Shared Experts|2|
+|Context Length|131072|
+
+## Quickstart
+
+> [!NOTE]
+> To align with the wider community, this model releases Transformer-style weights. Both PyTorch and PaddlePaddle ecosystem tools, such as vLLM, transformers, and FastDeploy, are expected to be able to load and run this model.
+
+### FastDeploy Inference
+
+Quickly deploy services using FastDeploy as shown below. For more detailed usage, refer to the [FastDeploy GitHub Repository](https://github.com/PaddlePaddle/FastDeploy).
+
+**Note**: 80GB x 1 GPU resources are required. Deploying this model requires FastDeploy version 2.2.
+
+```bash
+python -m fastdeploy.entrypoints.openai.api_server \
+       --model baidu/ERNIE-4.5-21B-A3B-Thinking \
+       --port 8180 \
+       --metrics-port 8181 \
+       --engine-worker-queue-port 8182 \
+       --load_choices "default_v1" \
+       --tensor-parallel-size 1 \
+       --max-model-len 131072 \
+       --reasoning-parser ernie_x1 \
+       --tool-call-parser ernie_x1 \
+       --max-num-seqs 32
+```
+
+The ERNIE-4.5-21B-A3B-Thinking model supports function call.
+
+```bash
+curl -X POST "http://0.0.0.0:8180/v1/chat/completions" \
+-H "Content-Type: application/json" \
+-d $'{
+  "messages": [
+    {
+      "role": "user",
+      "content": "How \'s the weather in Beijing today?"
+    }
+  ],
+  "tools": [
+    {
+      "type": "function",
+      "function": {
+        "name": "get_weather",
+        "description": "Determine weather in my location",
+        "parameters": {
+          "type": "object",
+          "properties": {
+            "location": {
+              "type": "string",
+              "description": "The city and state e.g. San Francisco, CA"
+            },
+            "unit": {
+              "type": "string",
+              "enum": [
+                "c",
+                "f"
+              ]
+            }
+          },
+          "additionalProperties": false,
+          "required": [
+            "location",
+            "unit"
+          ]
+        },
+        "strict": true
+      }
+    }]
+}'
+```
+
+### vLLM inference
+
+```bash
+vllm serve baidu/ERNIE-4.5-21B-A3B-Thinking
+```
+
+The `reasoning-parser` and `tool-call-parser` for vLLM Ernie are currently under development.
+
+### Using `transformers` library
+
+**Note**: You'll need the`transformers`library (version 4.54.0 or newer) installed to use this model.
+
+The following contains a code snippet illustrating how to use the model generate content based on given inputs.
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "baidu/ERNIE-4.5-21B-A3B-Thinking"
+
+# load the tokenizer and the model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    device_map="auto",
+    torch_dtype=torch.bfloat16,
+)
+
+# prepare the model input
+prompt = "Give me a short introduction to large language model."
+messages = [
+    {"role": "user", "content": prompt}
+]
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+model_inputs = tokenizer([text], add_special_tokens=False, return_tensors="pt").to(model.device)
+
+# conduct text completion
+generated_ids = model.generate(
+    **model_inputs,
+    max_new_tokens=1024
+)
+output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist()
+
+# decode the generated ids
+generate_text = tokenizer.decode(output_ids, skip_special_tokens=True)
+print("generate_text:", generate_text)
+```
+
+## License
+
+The ERNIE 4.5 models are provided under the Apache License 2.0. This license permits commercial use, subject to its terms and conditions. Copyright (c) 2025 Baidu, Inc. All Rights Reserved.
+
+## Citation
+
+If you find ERNIE 4.5 useful or wish to use it in your projects, please kindly cite our technical report:
+
+```text
+@misc{ernie2025technicalreport,
+      title={ERNIE 4.5 Technical Report},
+      author={Baidu-ERNIE-Team},
+      year={2025},
+      primaryClass={cs.CL},
+      howpublished={\url{https://ernie.baidu.com/blog/publication/ERNIE_Technical_Report.pdf}}
+}
+```
+

config.json

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+{
+    "_attn_implementation": "eager",
+    "architectures": [
+        "Ernie4_5_MoeForCausalLM"
+    ],
+    "auto_map": {
+        "AutoConfig": "configuration_ernie4_5_moe.Ernie4_5_MoeConfig",
+        "AutoModel": "modeling_ernie4_5_moe.Ernie4_5_Model",
+        "AutoModelForCausalLM": "modeling_ernie4_5_moe.Ernie4_5_MoeForCausalLM"
+    },
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "hidden_act": "silu",
+    "hidden_size": 2560,
+    "intermediate_size": 12288,
+    "max_position_embeddings": 131072,
+    "model_type": "ernie4_5_moe",
+    "moe_capacity": [
+        64,
+        64,
+        64
+    ],
+    "moe_gate": "top2_fused",
+    "moe_intermediate_size": 1536,
+    "moe_k": 6,
+    "moe_layer_interval": 1,
+    "moe_layer_start_index": 1,
+    "moe_num_experts": 64,
+    "moe_num_shared_experts": 2,
+    "moe_use_aux_free": true,
+    "num_attention_heads": 20,
+    "num_hidden_layers": 28,
+    "num_key_value_heads": 4,
+    "pad_token_id": 0,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 500000,
+    "tie_word_embeddings": true,
+    "torch_dtype": "bfloat16",
+    "use_bias": false,
+    "use_cache": true,
+    "vocab_size": 103424
+}

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tokenizer_config.json

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+{
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "pad_token": "<unk>",
+  "unk_token": "<unk>",
+  "cls_token": "<|begin_of_sentence|>",
+  "sep_token": "<|end_of_sentence|>",
+  "mask_token": "<mask:1>",
+  "sys_start_token": "<mask:4>",
+  "sys_end_token": "<mask:5>",
+  "header_start_token": "<mask:6>",
+  "header_end_token": "<mask:7>",
+  "additional_special_tokens": null,
+  "tokenizer_class": "LlamaTokenizer",
+  "chat_template": "{{- '<|im_start|>system\n' }}{%- if messages[0].role != 'system' and not system_settings %}{{- '<global_setting>\nthink_mode=True\n</global_setting>' }}{%- else%}{{- '<system_setting>\n' }}{{- system_settings + '\n' if system_settings else '' }}{{- (messages[0].content + '\n' if messages[0].role == 'system' else '') + '</system_setting>\n\n<global_setting>\nthink_mode=True\n</global_setting>' }}{%- endif %}{%- if tools %}{{- \"\n\n<tool_list>\" }}{{- '\n' }}{{-'['}}{% for tool in tools %}{{'{\"type\": \"function\", \"function\": '}}{{-(tool.function | tojson)}}}{%-if not loop.last%},{%- endif %}{%endfor%}{{-']'}}{{- \"\n</tool_list>\" }}{%- endif %}{{-'<|im_end|>\n\n' }}{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_output>') and message.content.endswith('</tool_output>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if message.content is string %}\n        {%- set content = message.content %}\n    {%- else %}\n        {%- set content = '' %}\n    {%- endif %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set reasoning_content = '' %}\n        {%- if message.thoughts is string %}\n            {%- set reasoning_content = message.thoughts %}\n        {%- else %}\n            {%- if '</think>' in content %}\n                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}\n                {%- set content = content.split('</think>')[-1].lstrip('\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index and  (loop.last or (not loop.last and reasoning_content)) %} {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n' }} {%- else %} {{- '<|im_start|>' + message.role + '\n' }} {%- endif %}  {%- if content|length > 0 %}  {{- '<response>\n' + content + '\n</response>\n' }}  {%- endif %} {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '\n<tool_call>\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\n</tool_call>\n' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\n\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>tool' }}\n        {%- endif %}\n        {{- '\n<tool_output>' }}\n        {{- message.content|tojson }}\n        {{- '</tool_output>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\n\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n {{- \"<|im_start|>assistant\n<think>\n\"}}",
+  "auto_map": {
+      "AutoTokenizer": [
+          "tokenization_ernie4_5.Ernie4_5_Tokenizer",
+          "tokenization_ernie4_5.Ernie4_5_Tokenizer"
+      ]
+  }
+}