Instructions to use mradermacher/DeepSeek-V2-Chat-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/DeepSeek-V2-Chat-i1-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/DeepSeek-V2-Chat-i1-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/DeepSeek-V2-Chat-i1-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 mradermacher/DeepSeek-V2-Chat-i1-GGUF:IQ1_S
# Run inference directly in the terminal:
llama cli -hf mradermacher/DeepSeek-V2-Chat-i1-GGUF:IQ1_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/DeepSeek-V2-Chat-i1-GGUF:IQ1_S
# Run inference directly in the terminal:
llama cli -hf mradermacher/DeepSeek-V2-Chat-i1-GGUF:IQ1_S

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 mradermacher/DeepSeek-V2-Chat-i1-GGUF:IQ1_S
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/DeepSeek-V2-Chat-i1-GGUF:IQ1_S

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 mradermacher/DeepSeek-V2-Chat-i1-GGUF:IQ1_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/DeepSeek-V2-Chat-i1-GGUF:IQ1_S

Use Docker

docker model run hf.co/mradermacher/DeepSeek-V2-Chat-i1-GGUF:IQ1_S

LM Studio
Jan
Ollama
How to use mradermacher/DeepSeek-V2-Chat-i1-GGUF with Ollama:
```
ollama run hf.co/mradermacher/DeepSeek-V2-Chat-i1-GGUF:IQ1_S
```
Unsloth Desktop
Docker Model Runner
How to use mradermacher/DeepSeek-V2-Chat-i1-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/DeepSeek-V2-Chat-i1-GGUF:IQ1_S
```

Lemonade

How to use mradermacher/DeepSeek-V2-Chat-i1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/DeepSeek-V2-Chat-i1-GGUF:IQ1_S

Run and chat with the model

lemonade run user.DeepSeek-V2-Chat-i1-GGUF-IQ1_S

List all available models

lemonade list

Atomic Chat

DeepSeek-V2-Chat-i1-GGUF / DeepSeek-V2-Chat.i1-Q5_K_S.gguf.part2of4

mradermacher

uploaded from nethype/backup1

654c3a7 verified about 2 years ago

Download

History Blame

40.8 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:: 9a7674757f7f140081e09c41343f73b4ef2c981799603c47ce0cf1f3e4bb7acc
Size of remote file:: 40.8 GB
SHA256:: 84f8072bc8259256327ad876b1b027b191c4142a48f7e5af44181860688af3a6

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