Instructions to use qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-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 qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-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 qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-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 qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-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 qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-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 qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-GGUF:Q4_K_M

Use Docker

docker model run hf.co/qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-GGUF with Ollama:
```
ollama run hf.co/qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-GGUF with Docker Model Runner:
```
docker model run hf.co/qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-GGUF:Q4_K_M
```

Lemonade

How to use qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull qwp4w3hyb/DeepSeek-Coder-V2-Lite-Instruct-iMat-GGUF:Q4_K_M

Run and chat with the model

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

List all available models

lemonade list

Atomic Chat

DeepSeek-Coder-V2-Lite-Instruct-iMat-GGUF / deepseek-coder-v2-lite-instruct-imat-Q5_K_S.gguf

qwp4w3hyb

Upload folder using huggingface_hub

98eb7b1 verified about 2 years ago

Download

History Blame GGUF Editor new Delete

11.1 GB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: 9fb64fb6dfb158ff37f56a357a9c21ca92904ab572a18e77a5643f63ae6a6a8a
Size of remote file:: 11.1 GB
SHA256:: 6b4564178e700c672c388b88b18cfc575acb18acf4e7cd4edc32f60768473473

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.