Instructions to use jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF:IQ2_M
# Run inference directly in the terminal:
llama cli -hf jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF:IQ2_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF:IQ2_M
# Run inference directly in the terminal:
llama cli -hf jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF:IQ2_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 jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF:IQ2_M
# Run inference directly in the terminal:
./llama-cli -hf jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF:IQ2_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 jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF:IQ2_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF:IQ2_M

Use Docker

docker model run hf.co/jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF:IQ2_M

LM Studio
Jan

vLLM

How to use jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF:IQ2_M

Ollama
How to use jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF with Ollama:
```
ollama run hf.co/jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF:IQ2_M
```
Unsloth Desktop
Docker Model Runner
How to use jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF with Docker Model Runner:
```
docker model run hf.co/jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF:IQ2_M
```

Lemonade

How to use jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF:IQ2_M

Run and chat with the model

lemonade run user.Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF-IQ2_M

List all available models

lemonade list

Atomic Chat

Seed-Coder-8B-Reasoning - DASH-Q 2-bit GGUF

llama.cpp GGUF files of ByteDance-Seed/Seed-Coder-8B-Reasoning quantized with DASH-Q, at several 2-bit-class sizes. Every file uses only standard llama.cpp tensor types (no tensor above 4 bits) and loads in any recent llama.cpp build.

File	Type	Size	Bits / weight
`Seed-Coder-8B-Reasoning-DASHQ-IQ2_XXS.gguf`	IQ2_XXS	2.65 GB	2.57
`Seed-Coder-8B-Reasoning-DASHQ-IQ2_XS.gguf`	IQ2_XS	2.98 GB	2.89
`Seed-Coder-8B-Reasoning-DASHQ-IQ2_M.gguf`	IQ2_M	3.13 GB	3.04
`Seed-Coder-8B-Reasoning-DASHQ-Q2_K_XL.gguf`	Q2_K_XL	3.38 GB	3.28

Perplexity (lower is better)

Type	Model	Size	WikiText-2	C4
IQ2_XXS	llama.cpp IQ2_XXS (imatrix)	2.51 GB	32.46	40.64
IQ2_XXS	unsloth UD-IQ2_XXS	2.63 GB	31.36	39.94
IQ2_XXS	DASH-Q IQ2_XXS	2.65 GB	26.82	35.97
IQ2_XS	llama.cpp IQ2_XS (imatrix)	2.72 GB	29.29	37.85
IQ2_XS	DASH-Q IQ2_XS	2.98 GB	25.58	34.42
IQ2_M	llama.cpp IQ2_M (imatrix)	3.07 GB	27.75	36.07
IQ2_M	unsloth UD-IQ2_M	3.13 GB	27.17	36.04
IQ2_M	DASH-Q IQ2_M	3.13 GB	25.15	34.05
Q2_K_XL	llama.cpp Q2_K (imatrix)	3.30 GB	27.65	36.48
Q2_K_XL	unsloth UD-Q2_K_XL	3.54 GB	25.38	33.95
Q2_K_XL	DASH-Q Q2_K_XL	3.38 GB	24.81	33.48

llama-perplexity, context 2048; WikiText-2 test, C4 validation (256 x 2048 tokens).

Usage

llama-cli -m Seed-Coder-8B-Reasoning-DASHQ-Q2_K_XL.gguf -ngl 99 -c 8192

License

Inherits the license of the base model (ByteDance-Seed/Seed-Coder-8B-Reasoning).

Downloads last month: 230

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

2-bit

Model tree for jkim96/Seed-Coder-8B-Reasoning-DASHQ-Q2-GGUF

Base model

ByteDance-Seed/Seed-Coder-8B-Base

Finetuned

ByteDance-Seed/Seed-Coder-8B-Reasoning

Quantized

(17)

this model