Instructions to use okamototk/DeepCoder-1.5B-Preview-imatrix-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 okamototk/DeepCoder-1.5B-Preview-imatrix-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 okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf okamototk/DeepCoder-1.5B-Preview-imatrix-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 okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf okamototk/DeepCoder-1.5B-Preview-imatrix-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 okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF:Q4_K_M

Use Docker

docker model run hf.co/okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "okamototk/DeepCoder-1.5B-Preview-imatrix-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": "okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF:Q4_K_M

Ollama
How to use okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF with Ollama:
```
ollama run hf.co/okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF:Q4_K_M
```

Unsloth Studio

How to use okamototk/DeepCoder-1.5B-Preview-imatrix-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 okamototk/DeepCoder-1.5B-Preview-imatrix-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 okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF with Docker Model Runner:
```
docker model run hf.co/okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF:Q4_K_M
```

Lemonade

How to use okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.DeepCoder-1.5B-Preview-imatrix-GGUF-Q4_K_M

List all available models

lemonade list

1. Introduction

This model is quantized version of DeepCoder-14B-Preview with dataset for imatrix TFMC/imatrix-dataset-for-japanese-llm. Usgin English/Japanese mixed and quantization is tuned for Japanese.

2. License

This code repository and the model weights are licensed under the MIT License. Here is note for upstream model license:

DeepCoder-2.5B-Preview is based on DeepSeek-R1-Distill-Qwen-1.5B which has same MIT license as DeepCoder. But DeepSeek-R1-Distill-Qwen-1.5B are derived from Qwen-2.5 series, which are originally licensed under Apache 2.0 License,

Downloads last month: 13

GGUF

Model size

2B params

Architecture

qwen2

Hardware compatibility

4-bit

8-bit

16-bit

Model tree for okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF

Base model

deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

Finetuned

agentica-org/DeepCoder-14B-Preview

Quantized

(30)

this model

okamototk
/

DeepCoder-1.5B-Preview-imatrix-GGUF

1. Introduction

2. License

Model tree for okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF

Dataset used to train okamototk/DeepCoder-1.5B-Preview-imatrix-GGUF