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.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

README.md

@@ -0,0 +1,149 @@
+---
+tags:
+- unsloth
+license: mit
+base_model:
+- ByteDance-Seed/Seed-Coder-8B-Instruct
+pipeline_tag: text-generation
+library_name: transformers
+---
+<div>
+<p style="margin-top: 0;margin-bottom: 0;">
+    <em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
+  </p>
+  <div style="display: flex; gap: 5px; align-items: center; ">
+    <a href="https://github.com/unslothai/unsloth/">
+      <img src="https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png" width="133">
+    </a>
+    <a href="https://discord.gg/unsloth">
+      <img src="https://github.com/unslothai/unsloth/raw/main/images/Discord%20button.png" width="173">
+    </a>
+    <a href="https://docs.unsloth.ai/basics/qwen3-how-to-run-and-fine-tune">
+      <img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/documentation%20green%20button.png" width="143">
+    </a>
+  </div>
+</div>
+
+
+# Seed-Coder-8B-Instruct
+
+<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.png">
+</p>
+
+This repo contains the **Seed-Coder-8B-Instruct** model, which has the following features:
+- Type: Causal language models
+- Training Stage: Pretraining & Post-training
+- Data Source: Public datasets, synthetic data
+- Context Length: 32,768
+
+
+## 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            | 64K    | 🤗 [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning)   |  RL trained to boost reasoning capabilities.  |
+| Seed-Coder-8B-Reasoning-bf16 | 64K    | 🤗 [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning-bf16)   |  RL trained to boost reasoning capabilities.  |
+
+## 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 generate code using the Hugging Face `pipeline` API:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_id = "ByteDance-Seed/Seed-Coder-8B-Instruct"
+
+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=512)
+response = tokenizer.decode(outputs[0][input_ids.shape[-1]:], skip_special_tokens=True)
+print(response)
+
+```
+
+## Evaluation
+
+Seed-Coder-8B-Instruct has been evaluated on a wide range of coding tasks, including code generation, code reasoning, code editing, and software engineering, achieving state-of-the-art performance among ~8B open-source models.
+
+|             Model             | HumanEval | MBPP | MHPP | BigCodeBench (Full) | BigCodeBench (Hard) | LiveCodeBench (2410 – 2502) |
+|:-----------------------------:|:---------:|:----:|:----:|:-------------------:|:-------------------:|:-------------------------:|
+|     CodeLlama-7B-Instruct     |    40.9   | 54.0 |  6.7 |         25.7        |         4.1         |            3.6            |
+|  DeepSeek-Coder-6.7B-Instruct |    74.4   | 74.9 | 20.0 |         43.8        |         15.5        |            9.6            |
+|      CodeQwen1.5-7B-Chat      |    83.5   | 77.7 | 17.6 |         43.6        |         15.5        |            3.0            |
+|        Yi-Coder-9B-Chat       |    82.3   | 82.0 | 26.7 |         49.0        |         17.6        |            17.5           |
+|     Llama-3.1-8B-Instruct     |    68.3   | 70.1 | 17.1 |         40.5        |         13.5        |            11.5           |
+|     OpenCoder-8B-Instruct     |    83.5   | 79.1 | 30.5 |         50.9        |         18.9        |            17.1           |
+|   Qwen2.5-Coder-7B-Instruct   |    **88.4**   | 83.5 | 26.7 |         48.8        |         20.3        |            17.3           |
+|            Qwen3-8B           |    84.8   | 77.0 | 32.8 |         51.7        |         23.0        |            23.5           |
+| Seed-Coder-8B-Instruct        |    84.8   | **85.2** | **36.2** |         **53.3**        |         **26.4**        |            **24.7**           |
+
+
+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.
+
+<!-- ## Citation
+
+If you find our work helpful, feel free to give us a cite.
+
+```
+@article{zhang2025seedcoder,
+    title={Seed-Coder: Let the Code Model Curate Data for Itself},
+    author={Xxx},
+    year={2025},
+    eprint={2504.xxxxx},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL},
+    url={https://arxiv.org/abs/xxxx.xxxxx}, 
+}
+``` -->

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.1,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.009882118,
+  "intermediate_size": 14336,
+  "layer_norm_eps": null,
+  "max_position_embeddings": 32768,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pad_token_id": 1,
+  "pretraining_tp": 1,
+  "quantization_config": {
+    "_load_in_4bit": true,
+    "_load_in_8bit": false,
+    "bnb_4bit_compute_dtype": "bfloat16",
+    "bnb_4bit_quant_storage": "uint8",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": true,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": [
+      "lm_head",
+      "multi_modal_projector",
+      "merger",
+      "modality_projection",
+      "model.layers.1.mlp",
+      "model.layers.30.self_attn.o_proj",
+      "model.layers.31.self_attn.o_proj"
+    ],
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+    "quant_method": "bitsandbytes"
+  },
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+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.3",
+  "unsloth_fixed": true,
+  "use_cache": true,
+  "vocab_size": 155136
+}

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "max_length": 32768,
+  "pad_token_id": 1,
+  "transformers_version": "4.51.3"
+}

model.safetensors

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+size 6454383742

special_tokens_map.json

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+    "lstrip": false,
+    "normalized": false,
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+  }
+}

tokenizer.json

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tokenizer_config.json

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+    },
+    "120": {
+      "content": "<[PLHD120_never_used_51bce0c785ca2f68081bfa7d91973934]>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "121": {
+      "content": "<[PLHD121_never_used_51bce0c785ca2f68081bfa7d91973934]>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "122": {
+      "content": "<[PLHD122_never_used_51bce0c785ca2f68081bfa7d91973934]>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "123": {
+      "content": "<[PLHD123_never_used_51bce0c785ca2f68081bfa7d91973934]>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "124": {
+      "content": "<[fim-prefix]>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "125": {
+      "content": "<[fim-suffix]>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "126": {
+      "content": "<[fim-middle]>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "127": {
+      "content": "<[PLHD127_never_used_51bce0c785ca2f68081bfa7d91973934]>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<[begin\u2581of\u2581sentence]>",
+  "chat_template": "{% set has_system = messages[0]['role'] == 'system' %}{% if not has_system %}{{ bos_token + 'system\nYou are an AI programming assistant, utilizing the Seed-Coder model, developed by ByteDance Seed, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer.\n\n' + eos_token }}{% endif %}{% for message in messages %}{{ bos_token + message['role'] + '\n' + message['content'] | trim + eos_token }}{% endfor %}{% if add_generation_prompt %}{{ bos_token + 'assistant\n'}}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<[end\u2581of\u2581sentence]>",
+  "extra_special_tokens": {},
+  "model_max_length": 32768,
+  "pad_token": "<[PAD\u2581TOKEN]>",
+  "padding_side": "left",
+  "sep_token": "<[SEP\u2581TOKEN]>",
+  "tokenizer_class": "PreTrainedTokenizer",
+  "unk_token": null
+}