Instructions to use PrunaAI/codegemma-7b-GGUF-smashed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use PrunaAI/codegemma-7b-GGUF-smashed with Pruna AI:

from pruna import PrunaModel
model = PrunaModel.from_pretrained("PrunaAI/codegemma-7b-GGUF-smashed")

llama-cpp-python

How to use PrunaAI/codegemma-7b-GGUF-smashed with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="PrunaAI/codegemma-7b-GGUF-smashed",
	filename="codegemma-7b.IQ3_M.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 PrunaAI/codegemma-7b-GGUF-smashed with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf PrunaAI/codegemma-7b-GGUF-smashed:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf PrunaAI/codegemma-7b-GGUF-smashed:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf PrunaAI/codegemma-7b-GGUF-smashed:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf PrunaAI/codegemma-7b-GGUF-smashed: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 PrunaAI/codegemma-7b-GGUF-smashed:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf PrunaAI/codegemma-7b-GGUF-smashed: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 PrunaAI/codegemma-7b-GGUF-smashed:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf PrunaAI/codegemma-7b-GGUF-smashed:Q4_K_M

Use Docker

docker model run hf.co/PrunaAI/codegemma-7b-GGUF-smashed:Q4_K_M

LM Studio
Jan
Ollama
How to use PrunaAI/codegemma-7b-GGUF-smashed with Ollama:
```
ollama run hf.co/PrunaAI/codegemma-7b-GGUF-smashed:Q4_K_M
```

Unsloth Studio new

How to use PrunaAI/codegemma-7b-GGUF-smashed 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 PrunaAI/codegemma-7b-GGUF-smashed 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 PrunaAI/codegemma-7b-GGUF-smashed to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for PrunaAI/codegemma-7b-GGUF-smashed to start chatting

Docker Model Runner
How to use PrunaAI/codegemma-7b-GGUF-smashed with Docker Model Runner:
```
docker model run hf.co/PrunaAI/codegemma-7b-GGUF-smashed:Q4_K_M
```

Lemonade

How to use PrunaAI/codegemma-7b-GGUF-smashed with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull PrunaAI/codegemma-7b-GGUF-smashed:Q4_K_M

Run and chat with the model

lemonade run user.codegemma-7b-GGUF-smashed-Q4_K_M

List all available models

lemonade list

sdiazlor commited on Mar 25

Commit

f86bd60

verified ·

1 Parent(s): bf1c45e

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README.md +3 -2

README.md CHANGED Viewed

@@ -216,8 +216,9 @@ The license of the smashed model follows the license of the original model. Plea
 ## Want to compress other models?
-- Contact us and tell us which model to compress next [here](https://www.pruna.ai/contact).
-- Request access to easily compress your own AI models [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
 ## ✨ Test our endpoints
 Want to use our optimized models right away? Try them via our API for fast, easy access to Pruna-powered inference.

 ## Want to compress other models?
+- Compress your own models with [Pruna](https://github.com/PrunaAI/pruna) and give us a ⭐️ to bring you many more algos!
+- Read the documentation to know more [here](https://docs.pruna.ai/)
+- Stay up to date with the latest AI efficiency research on our [blog](https://www.pruna.ai/blog/), explore our [materials collection](https://github.com/PrunaAI/awesome-ai-efficiency), or dive into our [courses](https://github.com/PrunaAI/courses).
 ## ✨ Test our endpoints
 Want to use our optimized models right away? Try them via our API for fast, easy access to Pruna-powered inference.