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 Settings

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

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 23

Commit

a3578f4

verified ·

1 Parent(s): 8961a12

Add CTA to model card

Browse files

Files changed (1) hide show

README.md +34 -1

README.md CHANGED Viewed

@@ -1,5 +1,5 @@
 ---
-thumbnail: "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"
 metrics:
 - memory_disk
 - memory_inference
@@ -217,3 +217,36 @@ The license of the smashed model follows the license of the original model. Plea
 - 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).

 ---
+thumbnail: https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg
 metrics:
 - memory_disk
 - memory_inference
 - 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.
+<style>
+.model-button {
+  display: inline-flex;
+  flex-direction: row;
+  justify-content: center;
+  align-items: center;
+  gap: 8px;
+  padding: 8px 20px;
+  border: none;
+  border-radius: 8px;
+  background: #9334e9;
+  color: #ffffff;
+  font-size: 14px;
+  font-weight: 400;
+  line-height: 1;
+  text-decoration: none;
+  white-space: nowrap;
+  cursor: pointer;
+  box-sizing: border-box;
+  overflow: visible;
+  opacity: 1;
+}
+</style>
+<a href="https://dashboard.pruna.ai/login?utm_source=huggingface&utm_medium=org_card&utm_campaign=hf_traffic" class="model-button">Try our models</a>