Instructions to use mfielding92/cvwreview-gemma3-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mfielding92/cvwreview-gemma3-4B with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mfielding92/cvwreview-gemma3-4B", dtype="auto")

llama-cpp-python

How to use mfielding92/cvwreview-gemma3-4B with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="mfielding92/cvwreview-gemma3-4B",
	filename="gemma-3-finetune.Q8_0.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mfielding92/cvwreview-gemma3-4B with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf mfielding92/cvwreview-gemma3-4B:Q8_0
# Run inference directly in the terminal:
llama-cli -hf mfielding92/cvwreview-gemma3-4B:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf mfielding92/cvwreview-gemma3-4B:Q8_0
# Run inference directly in the terminal:
llama-cli -hf mfielding92/cvwreview-gemma3-4B:Q8_0

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 mfielding92/cvwreview-gemma3-4B:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf mfielding92/cvwreview-gemma3-4B:Q8_0

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 mfielding92/cvwreview-gemma3-4B:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mfielding92/cvwreview-gemma3-4B:Q8_0

Use Docker

docker model run hf.co/mfielding92/cvwreview-gemma3-4B:Q8_0

LM Studio
Jan
Ollama
How to use mfielding92/cvwreview-gemma3-4B with Ollama:
```
ollama run hf.co/mfielding92/cvwreview-gemma3-4B:Q8_0
```

Unsloth Studio

How to use mfielding92/cvwreview-gemma3-4B 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 mfielding92/cvwreview-gemma3-4B 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 mfielding92/cvwreview-gemma3-4B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mfielding92/cvwreview-gemma3-4B to start chatting

Docker Model Runner
How to use mfielding92/cvwreview-gemma3-4B with Docker Model Runner:
```
docker model run hf.co/mfielding92/cvwreview-gemma3-4B:Q8_0
```

Lemonade

How to use mfielding92/cvwreview-gemma3-4B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mfielding92/cvwreview-gemma3-4B:Q8_0

Run and chat with the model

lemonade run user.cvwreview-gemma3-4B-Q8_0

List all available models

lemonade list

mfielding92 Reed Mayhew commited on 1 day ago

Commit

a017e3e

0 Parent(s):

Consolidate repository history

Browse files

Co-authored-by: Reed Mayhew <Reed Mayhew@users.noreply.huggingface.co>

Files changed (3) hide show

.gitattributes +36 -0
README.md +21 -0
gemma-3-finetune.Q8_0.gguf +3 -0

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+---
+base_model: unsloth/gemma-3-4b-it-unsloth-bnb-4bit
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- gemma3
+license: apache-2.0
+language:
+- en
+---
+# Uploaded finetuned  model
+- **Developed by:** mfielding92
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/gemma-3-4b-it-unsloth-bnb-4bit
+This gemma3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

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