Instructions to use 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-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 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-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 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-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 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-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 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-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 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q4_K_M

Use Docker

docker model run hf.co/1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-GGUF with Ollama:
```
ollama run hf.co/1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-GGUF with Docker Model Runner:
```
docker model run hf.co/1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q4_K_M
```

Lemonade

How to use 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.DeepSeek-Coder-V2-Lite-Instruct-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

DeepSeek-Coder-V2-Lite-Instruct — GGUF (Q4_K_M)

bartowski's Q4_K_M GGUF for DeepSeek's coding MoE (~16B total), re-hosted with measured performance for the 1bit engine on Strix Halo.

Licensed under the DeepSeek License Agreement — open and permissive including commercial use, with a small set of use-based restrictions (misuse prevention), not a plain permissive license like Apache/MIT.

DeepSeek-Coder-V2-Lite-Instruct-Q4_K_M.gguf

Measured performance (Strix Halo, Vulkan)

pp512: 2002 tok/s · tg128: 99.5 tok/s

Running it

1bit serve -m DeepSeek-Coder-V2-Lite-Instruct-Q4_K_M.gguf --device vulkan

Attribution

Model: deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct.
Quantization: bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF.

Downloads last month: -

GGUF

Model size

16B params

Architecture

deepseek2

Hardware compatibility

4-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-GGUF

Base model

deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct

Quantized

(68)

this model

1bit-MONSTER
/

DeepSeek-Coder-V2-Lite-Instruct-GGUF

DeepSeek-Coder-V2-Lite-Instruct — GGUF (Q4_K_M)

Contents

Measured performance (Strix Halo, Vulkan)

Running it

Attribution

Model tree for 1bit-MONSTER/DeepSeek-Coder-V2-Lite-Instruct-GGUF