Instructions to use ziweek/gemma-2b-it-award-factory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ziweek/gemma-2b-it-award-factory with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="ziweek/gemma-2b-it-award-factory",
	filename="gemma_2b_it_award_factory_v2.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use ziweek/gemma-2b-it-award-factory with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf ziweek/gemma-2b-it-award-factory:Q5_K_M
# Run inference directly in the terminal:
llama-cli -hf ziweek/gemma-2b-it-award-factory:Q5_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf ziweek/gemma-2b-it-award-factory:Q5_K_M
# Run inference directly in the terminal:
llama-cli -hf ziweek/gemma-2b-it-award-factory:Q5_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 ziweek/gemma-2b-it-award-factory:Q5_K_M
# Run inference directly in the terminal:
./llama-cli -hf ziweek/gemma-2b-it-award-factory:Q5_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 ziweek/gemma-2b-it-award-factory:Q5_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ziweek/gemma-2b-it-award-factory:Q5_K_M

Use Docker

docker model run hf.co/ziweek/gemma-2b-it-award-factory:Q5_K_M

LM Studio
Jan
Ollama
How to use ziweek/gemma-2b-it-award-factory with Ollama:
```
ollama run hf.co/ziweek/gemma-2b-it-award-factory:Q5_K_M
```

Unsloth Studio new

How to use ziweek/gemma-2b-it-award-factory 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 ziweek/gemma-2b-it-award-factory 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 ziweek/gemma-2b-it-award-factory to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ziweek/gemma-2b-it-award-factory to start chatting

Docker Model Runner
How to use ziweek/gemma-2b-it-award-factory with Docker Model Runner:
```
docker model run hf.co/ziweek/gemma-2b-it-award-factory:Q5_K_M
```

Lemonade

How to use ziweek/gemma-2b-it-award-factory with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ziweek/gemma-2b-it-award-factory:Q5_K_M

Run and chat with the model

lemonade run user.gemma-2b-it-award-factory-Q5_K_M

List all available models

lemonade list

This is fine-tuned model

Python 3.10.14
Tue Sep 10 13:58:31 2024       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 555.58.02              Driver Version: 556.12         CUDA Version: 12.5     |
|-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA GeForce RTX 4070 ...    On  |   00000000:01:00.0  On |                  N/A |
| N/A   39C    P8              1W /  140W |     211MiB /   8188MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+
                                                                                         
+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
+-----------------------------------------------------------------------------------------+

request,title,winner,description,publisher
항상 팀원들의 생일을 챙기는 사람에게 상을 주고 싶어.","생일 플래너상","이생일","항상 팀원들의 생일을 잊지 않고 챙기며 모두에게 따뜻한 마음을 전달하는 그의 세심함을 칭찬하기 위해 이 상을 수여합니다.","사내 생일 축하 모임"
"항상 사람들의 법적 문제를 중재하는 판사에게 상을 주고 싶어.","공정한 판사상","최판사","사회의 법과 정의를 공정하게 중재하며 사람들의 문제를 해결하는 그의 책임감을 칭찬하기 위해 이 상을 수여합니다.","법원 판사 협회"
"항상 가족의 사진을 찍어주는 사람에게 상을 주고 싶어.","사진사상","김사진","가족의 소중한 순간을 사진으로 남기며 추억을 기록하는 그의 눈썰미와 섬세함을 칭찬하기 위해 이 상을 수여합니다.","가족 사진 기록 협회"
...

# 항상 새로운 소프트웨어를 개발하는 개발자에게 상을 주고 싶어

{'title':'코드 마법사상', 'winner':'최개발', 'description':'혁신적인 소프트웨어를 개발해 세상을 변화시키는 그의 뛰어난 개발 능력을 칭찬하기 위해 이 상을 수여합니다.', 'publisher':'소프트웨어 개발 협회'}

Downloads last month: 22

Safetensors

Model size

3B params

Tensor type

F16

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for ziweek/gemma-2b-it-award-factory

Base model

google/gemma-2-2b

Finetuned

google/gemma-2-2b-it

Quantized

(177)

this model

ziweek
/

gemma-2b-it-award-factory

Model tree for ziweek/gemma-2b-it-award-factory

Space using ziweek/gemma-2b-it-award-factory 1