Instructions to use TheBloke/deepseek-coder-1.3b-base-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/deepseek-coder-1.3b-base-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("TheBloke/deepseek-coder-1.3b-base-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use TheBloke/deepseek-coder-1.3b-base-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-1.3b-base-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf TheBloke/deepseek-coder-1.3b-base-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-1.3b-base-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf TheBloke/deepseek-coder-1.3b-base-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-1.3b-base-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf TheBloke/deepseek-coder-1.3b-base-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-1.3b-base-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf TheBloke/deepseek-coder-1.3b-base-GGUF:Q4_K_M

Use Docker

docker model run hf.co/TheBloke/deepseek-coder-1.3b-base-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use TheBloke/deepseek-coder-1.3b-base-GGUF with Ollama:
```
ollama run hf.co/TheBloke/deepseek-coder-1.3b-base-GGUF:Q4_K_M
```

Unsloth Studio

How to use TheBloke/deepseek-coder-1.3b-base-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-1.3b-base-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-1.3b-base-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-1.3b-base-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use TheBloke/deepseek-coder-1.3b-base-GGUF with Docker Model Runner:
```
docker model run hf.co/TheBloke/deepseek-coder-1.3b-base-GGUF:Q4_K_M
```

Lemonade

How to use TheBloke/deepseek-coder-1.3b-base-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull TheBloke/deepseek-coder-1.3b-base-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.deepseek-coder-1.3b-base-GGUF-Q4_K_M

List all available models

lemonade list

Tokenisation for fill in the middle prompts broken

by jonastemplestein - opened Nov 11, 2023

Discussion

jonastemplestein

Nov 11, 2023

Hi there, thanks a lot for building all these GGUFs for us!

Not sure if this is the right place to ask this, but the GGUF version of this model doesn't seem to tokenise and detokenise the special strings for fill in the middle correctly. Looking at the original model's tokenizer.json, I can see this

{
      "id": 32015,
      "content": "<｜fim▁hole｜>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": true,
      "special": false
    },
    {
      "id": 32016,
      "content": "<｜fim▁begin｜>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": true,
      "special": false
    },
    {
      "id": 32017,
      "content": "<｜fim▁end｜>",
      "single_word": false,
      "lstrip": false,
      "rstrip": false,
      "normalized": true,
      "special": false
    }

But loading any of the GGUFs from this repo into llama.cpp's server example and hitting the /detokenize endpoint results in "unordered_map::at: key not found" and hitting /tokenize gives me the wrong tokens

Is there some way to look at the tokenizer configuration within the GGUF? Could quantisation somehow lead to this?

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