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

Libraries

How to use bartowski/DeepSeek-Coder-V2-Lite-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-Lite-Instruct-GGUF",
	filename="DeepSeek-Coder-V2-Lite-Instruct-IQ2_M.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-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 bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bartowski/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 bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bartowski/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 bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf bartowski/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 bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF:Q4_K_M

Use Docker

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

LM Studio
Jan

vLLM

How to use bartowski/DeepSeek-Coder-V2-Lite-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-Lite-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-Lite-Instruct-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

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

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

Unsloth Studio

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

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

Lemonade

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

Pull the model

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

Having trouble setting up the template.

by frenchiveruti - opened 22 days ago

Discussion

frenchiveruti

22 days ago

Hi, I am on windows with Ollama,

Could you help me understand what I am doing wrong?

When I make the "modelfile" to create the model on ollama I am using this:

FROM ./DeepSeek-Coder-V2-Lite-Instruct-Q6_K.gguf
TEMPLATE "{%- if not add_generation_prompt is defined -%}
    {%- set add_generation_prompt = false -%}
{%- endif -%}
{{- bos_token -}}
{%- for message in messages -%}
    {%- if message["role"] == "user" -%}
        {{- "User: " + message["content"] + "\n\n" -}}
    {%- elif message["role"] == "assistant" -%}
        {{- "Assistant: " + message["content"] + eos_token -}}
    {%- elif message["role"] == "system" -%}
        {{- message["content"] + "\n\n" -}}
    {%- endif -%}
{%- endfor -%}
{%- if add_generation_prompt -%}
    {{- "Assistant:" -}}
{%- endif -%}"
PARAMETER num_ctx 131072

With LF endings and using the command:
ollama create deepseek-coder-v2-lite-q6k -f Modelfile

But I am getting this error:

gathering model components
copying file sha256:1ff79f43ad5728d3179bf8fa7ee2993652f4306d6aeca9c35055f4f5b7b864cd 100%
parsing GGUF
verifying conversion
Error: template error: template: :4: function "bos_token" not define

I copied the template that it's on the model card here. https://huggingface.co/bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF?chat_template=default

Any help is very appreciated.

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