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

Libraries

How to use bartowski/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="bartowski/DeepSeek-Coder-V2-Instruct-GGUF",
	filename="DeepSeek-Coder-V2-Instruct-IQ1_M.gguf/DeepSeek-Coder-V2-Instruct-IQ1_M-00001-of-00002.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use bartowski/DeepSeek-Coder-V2-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 bartowski/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bartowski/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 serve -hf bartowski/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bartowski/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 bartowski/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf bartowski/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 bartowski/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bartowski/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M

Use Docker

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

LM Studio
Jan

vLLM

How to use bartowski/DeepSeek-Coder-V2-Instruct-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bartowski/DeepSeek-Coder-V2-Instruct-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bartowski/DeepSeek-Coder-V2-Instruct-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

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

Ollama
How to use bartowski/DeepSeek-Coder-V2-Instruct-GGUF with Ollama:
```
ollama run hf.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M
```

Unsloth Studio

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

Atomic Chat new
Docker Model Runner
How to use bartowski/DeepSeek-Coder-V2-Instruct-GGUF with Docker Model Runner:
```
docker model run hf.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF:Q4_K_M
```

Lemonade

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

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull bartowski/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

bartowski commited on Jun 21, 2024

Commit

289bc54

verified ·

1 Parent(s): ad77b20

Update README.md

Browse files

Files changed (1) hide show

README.md +3 -3

README.md CHANGED Viewed

@@ -21,7 +21,7 @@ All quants made using imatrix option with dataset from [here](https://gist.githu
 User: {prompt}
-Assistant: <｜end▁of▁sentence｜>Assistant:
 ```
 ## Download a file (not the whole branch) from below:
@@ -29,9 +29,9 @@ Assistant: <｜end▁of▁sentence｜>Assistant:
 | Filename | Quant type | File Size | Description |
 | -------- | ---------- | --------- | ----------- |
 | [DeepSeek-Coder-V2-Instruct-Q4_K_M.gguf](https://huggingface.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF/tree/main/DeepSeek-Coder-V2-Instruct-Q4_K_M.gguf) | Q4_K_M | 142.45GB | Good quality, uses about 4.83 bits per weight, *recommended*. |
-| [DeepSeek-Coder-V2-Instruct-Q3_K_XL.gguf](https://huggingface.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF/tree/main/DeepSeek-Coder-V2-Instruct-Q3_K_XL.gguf) | Q3_K_XL |  | *Experimental*, uses f16 for embed and output weights. Please provide any feedback of differences. Lower quality but usable, good for low RAM availability. |
 | [DeepSeek-Coder-V2-Instruct-Q3_K_M.gguf](https://huggingface.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF/tree/main/DeepSeek-Coder-V2-Instruct-Q3_K_M.gguf) | Q3_K_M | 112.7GB | Relatively low quality but usable. |
-| [DeepSeek-Coder-V2-Instruct-Q2_K_L.gguf](https://huggingface.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF/tree/main/DeepSeek-Coder-V2-Instruct-Q2_K_L.gguf) | Q2_K_L |  | *Experimental*, uses f16 for embed and output weights. Please provide any feedback of differences. Low quality but usable. |
 | [DeepSeek-Coder-V2-Instruct-Q2_K.gguf](https://huggingface.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF/tree/main/DeepSeek-Coder-V2-Instruct-Q2_K.gguf) | Q2_K | 86.0GB | Low quality but usable. |
 | [DeepSeek-Coder-V2-Instruct-IQ2_XS.gguf](https://huggingface.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF/tree/main/DeepSeek-Coder-V2-Instruct-IQ2_XS.gguf) | IQ2_XS | 68.7GB | Lower quality, uses SOTA techniques to be usable. |
 | [DeepSeek-Coder-V2-Instruct-IQ1_M.gguf](https://huggingface.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF/tree/main/DeepSeek-Coder-V2-Instruct-IQ1_M.gguf) | IQ1_M | 52.7GB | Extremely low quality, *not* recommended. |

 User: {prompt}
+Assistant: <｜end▁of▁sentence｜>
 ```
 ## Download a file (not the whole branch) from below:
 | Filename | Quant type | File Size | Description |
 | -------- | ---------- | --------- | ----------- |
 | [DeepSeek-Coder-V2-Instruct-Q4_K_M.gguf](https://huggingface.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF/tree/main/DeepSeek-Coder-V2-Instruct-Q4_K_M.gguf) | Q4_K_M | 142.45GB | Good quality, uses about 4.83 bits per weight, *recommended*. |
+| [DeepSeek-Coder-V2-Instruct-Q3_K_XL.gguf](https://huggingface.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF/tree/main/DeepSeek-Coder-V2-Instruct-Q3_K_XL.gguf) | Q3_K_XL | 123.8GB | *Experimental*, uses f16 for embed and output weights. Please provide any feedback of differences. Lower quality but usable, good for low RAM availability. |
 | [DeepSeek-Coder-V2-Instruct-Q3_K_M.gguf](https://huggingface.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF/tree/main/DeepSeek-Coder-V2-Instruct-Q3_K_M.gguf) | Q3_K_M | 112.7GB | Relatively low quality but usable. |
+| [DeepSeek-Coder-V2-Instruct-Q2_K_L.gguf](https://huggingface.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF/tree/main/DeepSeek-Coder-V2-Instruct-Q2_K_L.gguf) | Q2_K_L | 87.5GB | *Experimental*, uses f16 for embed and output weights. Please provide any feedback of differences. Low quality but usable. |
 | [DeepSeek-Coder-V2-Instruct-Q2_K.gguf](https://huggingface.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF/tree/main/DeepSeek-Coder-V2-Instruct-Q2_K.gguf) | Q2_K | 86.0GB | Low quality but usable. |
 | [DeepSeek-Coder-V2-Instruct-IQ2_XS.gguf](https://huggingface.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF/tree/main/DeepSeek-Coder-V2-Instruct-IQ2_XS.gguf) | IQ2_XS | 68.7GB | Lower quality, uses SOTA techniques to be usable. |
 | [DeepSeek-Coder-V2-Instruct-IQ1_M.gguf](https://huggingface.co/bartowski/DeepSeek-Coder-V2-Instruct-GGUF/tree/main/DeepSeek-Coder-V2-Instruct-IQ1_M.gguf) | IQ1_M | 52.7GB | Extremely low quality, *not* recommended. |