Instructions to use taoki/deepseek-coder-7B-instruct-ja-stackoverflow-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 taoki/deepseek-coder-7B-instruct-ja-stackoverflow-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 taoki/deepseek-coder-7B-instruct-ja-stackoverflow-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf taoki/deepseek-coder-7B-instruct-ja-stackoverflow-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 taoki/deepseek-coder-7B-instruct-ja-stackoverflow-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf taoki/deepseek-coder-7B-instruct-ja-stackoverflow-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 taoki/deepseek-coder-7B-instruct-ja-stackoverflow-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf taoki/deepseek-coder-7B-instruct-ja-stackoverflow-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 taoki/deepseek-coder-7B-instruct-ja-stackoverflow-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf taoki/deepseek-coder-7B-instruct-ja-stackoverflow-GGUF:Q4_K_M

Use Docker

docker model run hf.co/taoki/deepseek-coder-7B-instruct-ja-stackoverflow-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use taoki/deepseek-coder-7B-instruct-ja-stackoverflow-GGUF with Ollama:
```
ollama run hf.co/taoki/deepseek-coder-7B-instruct-ja-stackoverflow-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use taoki/deepseek-coder-7B-instruct-ja-stackoverflow-GGUF with Docker Model Runner:
```
docker model run hf.co/taoki/deepseek-coder-7B-instruct-ja-stackoverflow-GGUF:Q4_K_M
```

Lemonade

How to use taoki/deepseek-coder-7B-instruct-ja-stackoverflow-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull taoki/deepseek-coder-7B-instruct-ja-stackoverflow-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.deepseek-coder-7B-instruct-ja-stackoverflow-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

Deepseek Coder 7B Instruct ja-stackoverflow SFT - GGUF

Description

This repository contains a model trained (QLoRA-SFT) with the following data:

Base model: Deepseek Coder 7B Instruct v1.5
Training data: 日本語版 Stack Overflow
- accepted_answer_score > 2 and popular_answer_score > 2

Downloads last month: 268

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

4-bit

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Model tree for taoki/deepseek-coder-7B-instruct-ja-stackoverflow-GGUF

Base model

deepseek-ai/deepseek-coder-7b-instruct-v1.5

Quantized

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deepseek-coder-7B-instruct-ja-stackoverflow-GGUF

Deepseek Coder 7B Instruct ja-stackoverflow SFT - GGUF

Description

Model tree for taoki/deepseek-coder-7B-instruct-ja-stackoverflow-GGUF

Dataset used to train taoki/deepseek-coder-7B-instruct-ja-stackoverflow-GGUF