Instructions to use second-state/DeepSeek-Coder-V2-Instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use second-state/DeepSeek-Coder-V2-Instruct-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="second-state/DeepSeek-Coder-V2-Instruct-GGUF",
	filename="DeepSeek-Coder-V2-Instruct-Q2_K-00001-of-00003.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use second-state/DeepSeek-Coder-V2-Instruct-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf second-state/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf second-state/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf second-state/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf second-state/DeepSeek-Coder-V2-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 second-state/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf second-state/DeepSeek-Coder-V2-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 second-state/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf second-state/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M

Use Docker

docker model run hf.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use second-state/DeepSeek-Coder-V2-Instruct-GGUF with Ollama:
```
ollama run hf.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M
```

Unsloth Studio new

How to use second-state/DeepSeek-Coder-V2-Instruct-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 second-state/DeepSeek-Coder-V2-Instruct-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 second-state/DeepSeek-Coder-V2-Instruct-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for second-state/DeepSeek-Coder-V2-Instruct-GGUF to start chatting

Docker Model Runner
How to use second-state/DeepSeek-Coder-V2-Instruct-GGUF with Docker Model Runner:
```
docker model run hf.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M
```

Lemonade

How to use second-state/DeepSeek-Coder-V2-Instruct-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull second-state/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M

Run and chat with the model

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

List all available models

lemonade list

apepkuss79 commited on Aug 5, 2024

Commit

7df7fbd

verified ·

1 Parent(s): 45d714d

Upload README.md with huggingface_hub

Browse files

Files changed (1) hide show

README.md +19 -4

README.md CHANGED Viewed

@@ -83,10 +83,25 @@ quantized_by: Second State Inc.
 | [DeepSeek-Coder-V2-Instruct-Q3_K_M-00002-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_M-00002-of-00004.gguf) | Q3_K_M | 3 | 29.5 GB| very small, high quality loss |
 | [DeepSeek-Coder-V2-Instruct-Q3_K_M-00003-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_M-00003-of-00004.gguf) | Q3_K_M | 3 | 29.8 GB| very small, high quality loss |
 | [DeepSeek-Coder-V2-Instruct-Q3_K_M-00004-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_M-00004-of-00004.gguf) | Q3_K_M | 3 | 23.8 GB| very small, high quality loss |
-| [DeepSeek-Coder-V2-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 7.49 GB| very small, high quality loss |
-| [DeepSeek-Coder-V2-Instruct-Q4_0.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 8.91 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
-| [DeepSeek-Coder-V2-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 10.4 GB| medium, balanced quality - recommended |
-| [DeepSeek-Coder-V2-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 9.53 GB| small, greater quality loss |
 | [DeepSeek-Coder-V2-Instruct-Q5_0.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 10.8 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
 | [DeepSeek-Coder-V2-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 11.9 GB| large, very low quality loss - recommended |
 | [DeepSeek-Coder-V2-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 11.1 GB| large, low quality loss - recommended |

 | [DeepSeek-Coder-V2-Instruct-Q3_K_M-00002-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_M-00002-of-00004.gguf) | Q3_K_M | 3 | 29.5 GB| very small, high quality loss |
 | [DeepSeek-Coder-V2-Instruct-Q3_K_M-00003-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_M-00003-of-00004.gguf) | Q3_K_M | 3 | 29.8 GB| very small, high quality loss |
 | [DeepSeek-Coder-V2-Instruct-Q3_K_M-00004-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_M-00004-of-00004.gguf) | Q3_K_M | 3 | 23.8 GB| very small, high quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q3_K_S-00001-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_S-00001-of-00004.gguf) | Q3_K_S | 3 | 29.9 GB| very small, high quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q3_K_S-00002-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_S-00002-of-00004.gguf) | Q3_K_S | 3 | 29.7 GB| very small, high quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q3_K_S-00003-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_S-00003-of-00004.gguf) | Q3_K_S | 3 | 29.6 GB| very small, high quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q3_K_S-00004-of-00004.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q3_K_S-00004-of-00004.gguf) | Q3_K_S | 3 | 12.5 GB| very small, high quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q4_0-00001-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_0-00001-of-00005.gguf)     | Q4_0   | 4 | 30.0 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [DeepSeek-Coder-V2-Instruct-Q4_0-00002-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_0-00002-of-00005.gguf)     | Q4_0   | 4 | 29.9 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [DeepSeek-Coder-V2-Instruct-Q4_0-00003-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_0-00003-of-00005.gguf)     | Q4_0   | 4 | 29.8 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [DeepSeek-Coder-V2-Instruct-Q4_0-00004-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_0-00004-of-00005.gguf)     | Q4_0   | 4 | 29.9 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [DeepSeek-Coder-V2-Instruct-Q4_0-00005-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_0-00005-of-00005.gguf)     | Q4_0   | 4 | 13.3 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [DeepSeek-Coder-V2-Instruct-Q4_K_M-00001-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_M-00001-of-00005.gguf) | Q4_K_M | 4 | 29.7 GB| medium, balanced quality - recommended |
+| [DeepSeek-Coder-V2-Instruct-Q4_K_M-00002-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_M-00002-of-00005.gguf) | Q4_K_M | 4 | 29.7 GB| medium, balanced quality - recommended |
+| [DeepSeek-Coder-V2-Instruct-Q4_K_M-00003-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_M-00003-of-00005.gguf) | Q4_K_M | 4 | 29.7 GB| medium, balanced quality - recommended |
+| [DeepSeek-Coder-V2-Instruct-Q4_K_M-00004-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_M-00004-of-00005.gguf) | Q4_K_M | 4 | 29.6 GB| medium, balanced quality - recommended |
+| [DeepSeek-Coder-V2-Instruct-Q4_K_M-00005-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_M-00005-of-00005.gguf) | Q4_K_M | 4 | 23.8 GB| medium, balanced quality - recommended |
+| [DeepSeek-Coder-V2-Instruct-Q4_K_S-00001-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_S-00001-of-00005.gguf) | Q4_K_S | 4 | 29.6 GB| small, greater quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q4_K_S-00002-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_S-00002-of-00005.gguf) | Q4_K_S | 4 | 29.8 GB| small, greater quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q4_K_S-00003-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_S-00003-of-00005.gguf) | Q4_K_S | 4 | 29.9 GB| small, greater quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q4_K_S-00004-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_S-00004-of-00005.gguf) | Q4_K_S | 4 | 29.8 GB| small, greater quality loss |
+| [DeepSeek-Coder-V2-Instruct-Q4_K_S-00005-of-00005.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q4_K_S-00005-of-00005.gguf) | Q4_K_S | 4 | 14.8 GB| small, greater quality loss |
 | [DeepSeek-Coder-V2-Instruct-Q5_0.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 10.8 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
 | [DeepSeek-Coder-V2-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 11.9 GB| large, very low quality loss - recommended |
 | [DeepSeek-Coder-V2-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 11.1 GB| large, low quality loss - recommended |