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

Libraries

How to use second-state/Seed-Coder-8B-Reasoning-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="second-state/Seed-Coder-8B-Reasoning-GGUF",
	filename="Seed-Coder-8B-Reasoning-Q2_K.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use second-state/Seed-Coder-8B-Reasoning-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf second-state/Seed-Coder-8B-Reasoning-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf second-state/Seed-Coder-8B-Reasoning-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf second-state/Seed-Coder-8B-Reasoning-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf second-state/Seed-Coder-8B-Reasoning-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf second-state/Seed-Coder-8B-Reasoning-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf second-state/Seed-Coder-8B-Reasoning-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf second-state/Seed-Coder-8B-Reasoning-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf second-state/Seed-Coder-8B-Reasoning-GGUF:Q4_K_M

Use Docker

docker model run hf.co/second-state/Seed-Coder-8B-Reasoning-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use second-state/Seed-Coder-8B-Reasoning-GGUF with Ollama:
```
ollama run hf.co/second-state/Seed-Coder-8B-Reasoning-GGUF:Q4_K_M
```

Unsloth Studio

How to use second-state/Seed-Coder-8B-Reasoning-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for second-state/Seed-Coder-8B-Reasoning-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for second-state/Seed-Coder-8B-Reasoning-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for second-state/Seed-Coder-8B-Reasoning-GGUF to start chatting

Docker Model Runner
How to use second-state/Seed-Coder-8B-Reasoning-GGUF with Docker Model Runner:
```
docker model run hf.co/second-state/Seed-Coder-8B-Reasoning-GGUF:Q4_K_M
```

Lemonade

How to use second-state/Seed-Coder-8B-Reasoning-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull second-state/Seed-Coder-8B-Reasoning-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Seed-Coder-8B-Reasoning-GGUF-Q4_K_M

List all available models

lemonade list

apepkuss79 commited on May 11, 2025

Commit

8fa6ea8

verified ·

1 Parent(s): fcd3ca8

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README.md CHANGED Viewed

@@ -1,3 +1,72 @@
 ---
-license: apache-2.0
 ---

 ---
+base_model: ByteDance-Seed/Seed-Coder-8B-Reasoning
+license: mit
+model_creator: ByteDance-Seed
+model_name: Seed-Coder-8B-Reasoning
+quantized_by: Second State Inc.
 ---
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
+<!-- header end -->
+# Seed-Coder-8B-Reasoning-GGUF
+## Original Model
+[ByteDance-Seed/Seed-Coder-8B-Reasoning](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning)
+## Run with LlamaEdge
+- LlamaEdge version: coming soon
+<!-- - LlamaEdge version: [v0.17.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.17.0) and above -->
+- Prompt template
+  - Prompt type: `seed-reasoning`
+  - Prompt string
+    ```text
+    <[begin▁of▁sentence]>user
+    {user_message_1}<[end▁of▁sentence]><[begin▁of▁sentence]>assistant
+    {assistant_message_1}<[end▁of▁sentence]><[begin▁of▁sentence]>user
+    {user_message_2}<[end▁of▁sentence]><[begin▁of▁sentence]>assistant
+    ```
+- Context size: `32000`
+- Run as LlamaEdge service
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Seed-Coder-8B-Reasoning-Q5_K_M.gguf \
+    llama-api-server.wasm \
+    --model-name Seed-Coder-8B-Reasoning \
+    --prompt-template seed-reasoning     \
+    --ctx-size 32000
+  ```
+## Quantized GGUF Models
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [Seed-Coder-8B-Reasoning-Q2_K.gguf](https://huggingface.co/second-state/Seed-Coder-8B-Reasoning-GGUF/blob/main/Seed-Coder-8B-Reasoning-Q2_K.gguf)     | Q2_K   | 2 | 3.30 GB| smallest, significant quality loss - not recommended for most purposes |
+| [Seed-Coder-8B-Reasoning-Q3_K_L.gguf](https://huggingface.co/second-state/Seed-Coder-8B-Reasoning-GGUF/blob/main/Seed-Coder-8B-Reasoning-Q3_K_L.gguf) | Q3_K_L | 3 | 4.46 GB| small, substantial quality loss |
+| [Seed-Coder-8B-Reasoning-Q3_K_M.gguf](https://huggingface.co/second-state/Seed-Coder-8B-Reasoning-GGUF/blob/main/Seed-Coder-8B-Reasoning-Q3_K_M.gguf) | Q3_K_M | 3 | 4.15 GB| very small, high quality loss |
+| [Seed-Coder-8B-Reasoning-Q3_K_S.gguf](https://huggingface.co/second-state/Seed-Coder-8B-Reasoning-GGUF/blob/main/Seed-Coder-8B-Reasoning-Q3_K_S.gguf) | Q3_K_S | 3 | 3.80 GB| very small, high quality loss |
+| [Seed-Coder-8B-Reasoning-Q4_0.gguf](https://huggingface.co/second-state/Seed-Coder-8B-Reasoning-GGUF/blob/main/Seed-Coder-8B-Reasoning-Q4_0.gguf)     | Q4_0   | 4 | 4.81 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Seed-Coder-8B-Reasoning-Q4_K_M.gguf](https://huggingface.co/second-state/Seed-Coder-8B-Reasoning-GGUF/blob/main/Seed-Coder-8B-Reasoning-Q4_K_M.gguf) | Q4_K_M | 4 | 5.07 GB| medium, balanced quality - recommended |
+| [Seed-Coder-8B-Reasoning-Q4_K_S.gguf](https://huggingface.co/second-state/Seed-Coder-8B-Reasoning-GGUF/blob/main/Seed-Coder-8B-Reasoning-Q4_K_S.gguf) | Q4_K_S | 4 | 4.84 GB| small, greater quality loss |
+| [Seed-Coder-8B-Reasoning-Q5_0.gguf](https://huggingface.co/second-state/Seed-Coder-8B-Reasoning-GGUF/blob/main/Seed-Coder-8B-Reasoning-Q5_0.gguf)     | Q5_0   | 5 | 5.76 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Seed-Coder-8B-Reasoning-Q5_K_M.gguf](https://huggingface.co/second-state/Seed-Coder-8B-Reasoning-GGUF/blob/main/Seed-Coder-8B-Reasoning-Q5_K_M.gguf) | Q5_K_M | 5 | 5.90 GB| large, very low quality loss - recommended |
+| [Seed-Coder-8B-Reasoning-Q5_K_S.gguf](https://huggingface.co/second-state/Seed-Coder-8B-Reasoning-GGUF/blob/main/Seed-Coder-8B-Reasoning-Q5_K_S.gguf) | Q5_K_S | 5 | 5.76 GB| large, low quality loss - recommended |
+| [Seed-Coder-8B-Reasoning-Q6_K.gguf](https://huggingface.co/second-state/Seed-Coder-8B-Reasoning-GGUF/blob/main/Seed-Coder-8B-Reasoning-Q6_K.gguf)     | Q6_K   | 6 | 6.78 GB| very large, extremely low quality loss |
+| [Seed-Coder-8B-Reasoning-Q8_0.gguf](https://huggingface.co/second-state/Seed-Coder-8B-Reasoning-GGUF/blob/main/Seed-Coder-8B-Reasoning-Q8_0.gguf)     | Q8_0   | 8 | 8.77 GB| very large, extremely low quality loss - not recommended |
+| [Seed-Coder-8B-Reasoning-f16.gguf](https://huggingface.co/second-state/Seed-Coder-8B-Reasoning-GGUF/blob/main/Seed-Coder-8B-Reasoning-f16.gguf)       | f16    | 16 | 16.6 GB| |
+*Quantized with llama.cpp b5341*