Instructions to use TheBloke/stable-code-3b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/stable-code-3b-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("TheBloke/stable-code-3b-GGUF", dtype="auto")

llama-cpp-python

How to use TheBloke/stable-code-3b-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="TheBloke/stable-code-3b-GGUF",
	filename="stable-code-3b.Q2_K.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use TheBloke/stable-code-3b-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf TheBloke/stable-code-3b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf TheBloke/stable-code-3b-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf TheBloke/stable-code-3b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf TheBloke/stable-code-3b-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/stable-code-3b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf TheBloke/stable-code-3b-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/stable-code-3b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf TheBloke/stable-code-3b-GGUF:Q4_K_M

Use Docker

docker model run hf.co/TheBloke/stable-code-3b-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use TheBloke/stable-code-3b-GGUF with Ollama:
```
ollama run hf.co/TheBloke/stable-code-3b-GGUF:Q4_K_M
```

Unsloth Studio new

How to use TheBloke/stable-code-3b-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/stable-code-3b-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/stable-code-3b-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/stable-code-3b-GGUF to start chatting

Docker Model Runner
How to use TheBloke/stable-code-3b-GGUF with Docker Model Runner:
```
docker model run hf.co/TheBloke/stable-code-3b-GGUF:Q4_K_M
```

Lemonade

How to use TheBloke/stable-code-3b-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull TheBloke/stable-code-3b-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.stable-code-3b-GGUF-Q4_K_M

List all available models

lemonade list

Incorrect new line token in vocabulary

by giladgd - opened Feb 17, 2024

Discussion

giladgd

Feb 17, 2024

The new line token in the vocabulary for the converted files is "Ä" instead of being "\n", which causes the model to be fed with incorrect input when providing input that contains line breaks and, consequently, outputs bad completions for such inputs.

giladgd

Feb 17, 2024

Do you have a suggestion on how to fix it or a workaround?

giladgd

Feb 17, 2024

Nevermind, there was an issue on my side

giladgd changed discussion status to closed Feb 17, 2024

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