Instructions to use ByteDance-Seed/Seed-Coder-8B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ByteDance-Seed/Seed-Coder-8B-Instruct with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="ByteDance-Seed/Seed-Coder-8B-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ByteDance-Seed/Seed-Coder-8B-Instruct")
model = AutoModelForCausalLM.from_pretrained("ByteDance-Seed/Seed-Coder-8B-Instruct", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ByteDance-Seed/Seed-Coder-8B-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ByteDance-Seed/Seed-Coder-8B-Instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ByteDance-Seed/Seed-Coder-8B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ByteDance-Seed/Seed-Coder-8B-Instruct

SGLang

How to use ByteDance-Seed/Seed-Coder-8B-Instruct with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "ByteDance-Seed/Seed-Coder-8B-Instruct" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ByteDance-Seed/Seed-Coder-8B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "ByteDance-Seed/Seed-Coder-8B-Instruct" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ByteDance-Seed/Seed-Coder-8B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ByteDance-Seed/Seed-Coder-8B-Instruct with Docker Model Runner:
```
docker model run hf.co/ByteDance-Seed/Seed-Coder-8B-Instruct
```

yuyuzhang commited on May 7, 2025

Commit

c62d428

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1 Parent(s): 4d9ad64

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@@ -18,11 +18,11 @@ Seed-Coder-8B-Instruct is an 8-billion-parameter model instruction-tuned specifi
 </p>
 ## Model Downloads
-| Model Name                  | Type     | Length | Download   |
-|---------------------------------------------------------|----------|--------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| Seed-Coder-8B-Base          | base     | 32k    | 🤗 [Hugging Face](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Base)                                       |
-| **👉Seed-Coder-8B-Instruct**          | instruct     | 32k    | 🤗 [Hugging Face](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Instruct)                                       |
-| Seed-Coder-8B-Reasoning          | reasoning     | 32k    | 🤗 [Hugging Face](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning)                                       |
 ## Requirements
 You will need to install the latest versions of `transformers` and `accelerate`:
@@ -68,7 +68,7 @@ Seed-Coder-8B-Instruct demonstrates strong performance across a variety of codin
 - Robustness across different programming languages and domains.
 - Ability to understand, reason, and repair complex code snippets.
-|             Model             | HumanEval | MBPP | MHPP | BigCodeBench (Full) | BigCodeBench (Hard) | LiveCodeBench (2410-2502) |
 |:-----------------------------:|:---------:|:----:|:----:|:-------------------:|:-------------------:|:-------------------------:|
 |     CodeLlama-7B-Instruct     |    40.9   | 54.0 |  6.7 |         21.9        |         3.4         |            3.6            |
 |  DeepSeek-Coder-6.7B-Instruct |    74.4   | 74.9 | 20.0 |         35.5        |         10.1        |            9.6            |
@@ -81,7 +81,7 @@ Seed-Coder-8B-Instruct demonstrates strong performance across a variety of codin
 | Seed-Coder-8B-Instruct        |    84.8   | 85.2 | 36.2 |         53.3        |         20.5        |            24.7           |
-For detailed benchmark results, please refer to our [📑 paper](https://github.com/ByteDance-Seed/Seed-Coder/blob/master/Seed-Coder.pdf).
 <!-- ## Citation

 </p>
 ## Model Downloads
+| Model Name                  | Type     | Length | Download   |    Notes |
+|---------------------------------------------------------|----------|--------|------------------------------------|-----------------------|
+| Seed-Coder-8B-Base           | base     | 32K    | 🤗 [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Base)   |  Pretrained on our model-centric code data.  |
+| 👉 **Seed-Coder-8B-Instruct**  | instruct  | 32K    | 🤗 [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Instruct)   |  SFT trained to better follow user prompts.  |
+| Seed-Coder-8B-Reasoning            | reasoning | 32K    | 🤗 [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning)   |  RL trained to boost reasoning capabilities.  |
 ## Requirements
 You will need to install the latest versions of `transformers` and `accelerate`:
 - Robustness across different programming languages and domains.
 - Ability to understand, reason, and repair complex code snippets.
+|             Model             | HumanEval | MBPP | MHPP | BigCodeBench (Full) | BigCodeBench (Hard) | LiveCodeBench (2410 – 2502) |
 |:-----------------------------:|:---------:|:----:|:----:|:-------------------:|:-------------------:|:-------------------------:|
 |     CodeLlama-7B-Instruct     |    40.9   | 54.0 |  6.7 |         21.9        |         3.4         |            3.6            |
 |  DeepSeek-Coder-6.7B-Instruct |    74.4   | 74.9 | 20.0 |         35.5        |         10.1        |            9.6            |
 | Seed-Coder-8B-Instruct        |    84.8   | 85.2 | 36.2 |         53.3        |         20.5        |            24.7           |
+For detailed benchmark performance, please refer to our [📑 technical report](https://github.com/ByteDance-Seed/Seed-Coder/blob/master/Seed-Coder.pdf).
 <!-- ## Citation