Instructions to use TheBloke/deepseek-coder-6.7B-instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/deepseek-coder-6.7B-instruct-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("TheBloke/deepseek-coder-6.7B-instruct-GGUF", dtype="auto")

llama-cpp-python

How to use TheBloke/deepseek-coder-6.7B-instruct-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="TheBloke/deepseek-coder-6.7B-instruct-GGUF",
	filename="deepseek-coder-6.7b-instruct.Q2_K.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use TheBloke/deepseek-coder-6.7B-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 TheBloke/deepseek-coder-6.7B-instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf TheBloke/deepseek-coder-6.7B-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 TheBloke/deepseek-coder-6.7B-instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf TheBloke/deepseek-coder-6.7B-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 TheBloke/deepseek-coder-6.7B-instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf TheBloke/deepseek-coder-6.7B-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 TheBloke/deepseek-coder-6.7B-instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf TheBloke/deepseek-coder-6.7B-instruct-GGUF:Q4_K_M

Use Docker

docker model run hf.co/TheBloke/deepseek-coder-6.7B-instruct-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use TheBloke/deepseek-coder-6.7B-instruct-GGUF with Ollama:
```
ollama run hf.co/TheBloke/deepseek-coder-6.7B-instruct-GGUF:Q4_K_M
```

Unsloth Studio

How to use TheBloke/deepseek-coder-6.7B-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 TheBloke/deepseek-coder-6.7B-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 TheBloke/deepseek-coder-6.7B-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 TheBloke/deepseek-coder-6.7B-instruct-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use TheBloke/deepseek-coder-6.7B-instruct-GGUF with Docker Model Runner:
```
docker model run hf.co/TheBloke/deepseek-coder-6.7B-instruct-GGUF:Q4_K_M
```

Lemonade

How to use TheBloke/deepseek-coder-6.7B-instruct-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull TheBloke/deepseek-coder-6.7B-instruct-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.deepseek-coder-6.7B-instruct-GGUF-Q4_K_M

List all available models

lemonade list

This LLM seems to be trolling me??

by skynet24 - opened Jun 12, 2024

Discussion

skynet24

Jun 12, 2024

I have encountered this strange behavior a few times but the last one has been especially entertaining. I ask a programming concept question about Rust and this is what I get?!! Since I am new to the who AI and LLM world I was not sure if the fault is coming from the original trained model or TheBlokes model. Anyone else faced similar issues? please take a look at the attached screenshot

huggingkot

Jun 12, 2024

did you offload some of the layers to GPU in lmstudio? if yes, try running them without GPU offload and make sure you have enough ram to load the model

skynet24

Jun 12, 2024

Thanks for the reply!
My GPU has enough RAM (36GB macbook) so that is not an issue. But I don't really get the point. Not having enough ram should lead the model to be considerably slower, how come it goes all philosophical on a programming question suddenly!? Did you notice what it start to answer in the above screenshot?

YaTharThShaRma999

Jun 12, 2024

@skynet24 I am not a 100% sure but I believe DeepSeek coder has some tokenizer issues in llama.cpp so it can produce gibberish outputs sometimes. As an alternative, I would recommend codeqwen as that's newer and better I believe.

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