deepseek-coder-v2-inst-cpu-optimized-gguf

Instructions to use Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf",
	filename="DeepSeek-Coder-V2-Instruct-bf16-00001-of-00011.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 Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf:BF16
# Run inference directly in the terminal:
llama-cli -hf Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf:BF16
# Run inference directly in the terminal:
llama-cli -hf Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf:BF16

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 Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf:BF16
# Run inference directly in the terminal:
./llama-cli -hf Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf:BF16

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 Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf:BF16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf:BF16

Use Docker

docker model run hf.co/Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf:BF16

LM Studio
Jan
Ollama
How to use Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf with Ollama:
```
ollama run hf.co/Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf:BF16
```

Unsloth Studio new

How to use Ocean82/deepseek-coder-v2-inst-cpu-optimized-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 Ocean82/deepseek-coder-v2-inst-cpu-optimized-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 Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf to start chatting

Docker Model Runner
How to use Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf with Docker Model Runner:
```
docker model run hf.co/Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf:BF16
```

Lemonade

How to use Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf:BF16

Run and chat with the model

lemonade run user.deepseek-coder-v2-inst-cpu-optimized-gguf-BF16

List all available models

lemonade list

Custom quantizations of deepseek-coder-v2-instruct optimized for cpu inference.

This iq4xm one uses GGML TYPE IQ_4_XS 4bit in combination with q8_0 bit so it runs fast with minimal loss and takes advantage of int8 optimizations on most newer server cpus.

While it required custom code to make, it is compatible with standard llama.cpp from github or just search nisten in lmstudio.

The following 4bit version is the one I use myself, it gets 17tps on 64 arm cores.

You don't need to consolidate the files anymore, just point llama-cli to the first one and it'll handle the rest fine.

Then to run in commandline interactive mode (prompt.txt file is optional) just do:
./llama-cli --temp 0.4 -m deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf -c 32000 -co -cnv -i -f prompt.txt

deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf
deepseek_coder_v2_cpu_iq4xm.gguf-00002-of-00004.gguf
deepseek_coder_v2_cpu_iq4xm.gguf-00003-of-00004.gguf
deepseek_coder_v2_cpu_iq4xm.gguf-00004-of-00004.gguf

To download the models MUCH faster on linux apt install aria2, on mac: brew install aria2

sudo apt install -y aria2

aria2c -x 8 -o deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf \
  https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_iq4xm.gguf-00001-of-00004.gguf

aria2c -x 8 -o deepseek_coder_v2_cpu_iq4xm.gguf-00002-of-00004.gguf \
  https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_iq4xm.gguf-00002-of-00004.gguf

aria2c -x 8 -o deepseek_coder_v2_cpu_iq4xm.gguf-00003-of-00004.gguf \
  https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_iq4xm.gguf-00003-of-00004.gguf

aria2c -x 8 -o deepseek_coder_v2_cpu_iq4xm.gguf-00004-of-00004.gguf \
  https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_iq4xm.gguf-00004-of-00004.gguf

And for downloading the Q8_0 version converted in the most lossless way possible from hf bf16 download these:


aria2c -x 8 -o deepseek_coder_v2_cpu_q8_0-00001-of-00006.gguf \
  https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_q8_0-00001-of-00006.gguf

aria2c -x 8 -o deepseek_coder_v2_cpu_q8_0-00002-of-00006.gguf \
  https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_q8_0-00002-of-00006.gguf

aria2c -x 8 -o deepseek_coder_v2_cpu_q8_0-00003-of-00006.gguf \
  https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_q8_0-00003-of-00006.gguf

aria2c -x 8 -o deepseek_coder_v2_cpu_q8_0-00004-of-00006.gguf \
  https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_q8_0-00004-of-00006.gguf

aria2c -x 8 -o deepseek_coder_v2_cpu_q8_0-00005-of-00006.gguf \
  https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_q8_0-00005-of-00006.gguf

aria2c -x 8 -o deepseek_coder_v2_cpu_q8_0-00006-of-00006.gguf \
  https://huggingface.co/nisten/deepseek-coder-v2-inst-cpu-optimized-gguf/resolve/main/deepseek_coder_v2_cpu_q8_0-00006-of-00006.gguf

The use of DeepSeek-Coder-V2 Base/Instruct models is subject to the Model License. DeepSeek-Coder-V2 series (including Base and Instruct) supports commercial use. It's a permissive license that only restrict use for military purposes, harming minors or patent trolling.

Enjoy and remember to accelerate!

-Nisten

Downloads last month: 42

GGUF

Model size

236B params

Architecture

deepseek2

Hardware compatibility

8-bit

16-bit

View +2 variants

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Model tree for Ocean82/deepseek-coder-v2-inst-cpu-optimized-gguf

Base model

deepseek-ai/DeepSeek-Coder-V2-Base

Finetuned

deepseek-ai/DeepSeek-Coder-V2-Instruct

Quantized

(12)

this model