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README.md

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----
-license: mit
----
+---
+library_name: transformers
+pipeline_tag: text-generation
+license: mit
+base_model:
+- ByteDance-Seed/Seed-Coder-8B-Base-bf16
+---
+
+# Seed-Coder-8B-Reasoning-bf16
+
+<div align="left" style="line-height: 1;">
+  <a href="https://bytedance-seed-coder.github.io/" target="_blank" style="margin: 2px;">
+    <img alt="Homepage" src="https://img.shields.io/badge/Seed--Coder-Homepage-a468fe?color=a468fe&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+
+  <a href="https://github.com/ByteDance-Seed/Seed-Coder/blob/master/Seed-Coder.pdf" target="_blank" style="margin: 2px;">
+    <img alt="Technical Report" src="https://img.shields.io/badge/(upcoming)-Technical%20Report-brightgreen?logo=arxiv&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+  
+  <a href="https://huggingface.co/ByteDance-Seed" target="_blank" style="margin: 2px;">
+      <img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-ByteDance%20Seed-536af5?color=536af5&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+  
+  <a href="https://github.com/ByteDance-Seed/Seed-Coder/blob/master/LICENSE" style="margin: 2px;">
+      <img alt="License" src="https://img.shields.io/badge/License-MIT-f5de53?color=f5de53&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+</div>
+
+
+## Introduction
+We are thrilled to introduce Seed-Coder, a powerful, transparent, and parameter-efficient family of open-source code models at the 8B scale, featuring base, instruct, and reasoning variants. Seed-Coder contributes to promote the evolution of open code models through the following highlights.
+
+- **Model-centric:** Seed-Coder predominantly leverages LLMs instead of hand-crafted rules for code data filtering, minimizing manual effort in pretraining data construction.
+- **Transparent:** We openly share detailed insights into our model-centric data pipeline, including methods for curating GitHub data, commits data, and code-related web data.
+- **Powerful:** Seed-Coder achieves state-of-the-art performance among open-source models of comparable size across a diverse range of coding tasks.
+
+<p align="center">
+  <img width="100%" src="imgs/seed-coder_intro_performance.jpg">
+</p>
+
+This is the **bf16 version** of the Seed-Coder-8B-Reasoning model, which has the following features:
+- Type: Causal language models
+- Training Stage: Pretraining & Post-training
+- Data Source: Public datasets
+- Context Length: 65,536
+
+
+## Model Downloads
+| Model Name                  | Length | Download   |    Notes |
+|---------------------------------------------------------|-----------|------------------------------------|-----------------------|
+| Seed-Coder-8B-Base           | 32K    | 🤗 [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Base)   |  Pretrained on our model-centric code data.  |
+| Seed-Coder-8B-Instruct             | 32K    | 🤗 [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Instruct)   |  Instruction-tuned for alignment with user intent. |
+| Seed-Coder-8B-Reasoning            | 32K    | 🤗 [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning)   |  RL trained to boost reasoning capabilities.  |
+| 👉 **Seed-Coder-8B-Reasoning** (bf16) | 32K    | 🤗 [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning-bf16)   |  RL trained to boost reasoning capabilities. This is the **bf16 version**. |
+
+
+
+## Requirements
+You will need to install the latest versions of `transformers` and `accelerate`:
+
+```bash
+pip install -U transformers accelerate
+```
+
+## Quickstart
+
+Here is a simple example demonstrating how to load the model and perform code generation using the Hugging Face `pipeline` API:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_id = "ByteDance-Seed/Seed-Coder-8B-Reasoning"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto", trust_remote_code=True)
+
+messages = [
+    {"role": "user", "content": "Write a quick sort algorithm."},
+]
+
+input_ids = tokenizer.apply_chat_template(
+    messages,
+    tokenize=True,
+    return_tensors="pt",
+    add_generation_prompt=True,  
+).to(model.device)
+
+outputs = model.generate(input_ids, max_new_tokens=16384)
+response = tokenizer.decode(outputs[0][input_ids.shape[-1]:], skip_special_tokens=True)
+print(response)
+```
+
+## Evaluation
+Seed-Coder-8B-Reasoning strikes impressive performance on competitive programming, demonstrating that smaller LLMs can also be competent on complex reasoning tasks. Our model surpasses QwQ-32B and DeepSeek-R1 on IOI'2024, and achieves an ELO rating comparable to o1-mini on Codeforces contests.
+
+<div style="display: flex; justify-content: center;">
+    <img src="imgs/reasoning-ioi.jpg" width="61%" />
+    <img src="imgs/reasoning-codeforces.jpg" width="39%" />
+</div>
+
+
+For detailed benchmark performance, please refer to our [📑 Technical Report](https://github.com/ByteDance-Seed/Seed-Coder/blob/master/Seed-Coder.pdf).
+
+## License
+
+This project is licensed under the MIT License. See the [LICENSE file](https://github.com/ByteDance-Seed/Seed-Coder/blob/master/LICENSE) for details.