Instructions to use Stephen16/SaphraFgt-1.0-8B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Stephen16/SaphraFgt-1.0-8B-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Stephen16/SaphraFgt-1.0-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Stephen16/SaphraFgt-1.0-8B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Stephen16/SaphraFgt-1.0-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Stephen16/SaphraFgt-1.0-8B-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 Stephen16/SaphraFgt-1.0-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Stephen16/SaphraFgt-1.0-8B-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 Stephen16/SaphraFgt-1.0-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Stephen16/SaphraFgt-1.0-8B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Stephen16/SaphraFgt-1.0-8B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use Stephen16/SaphraFgt-1.0-8B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Stephen16/SaphraFgt-1.0-8B-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Stephen16/SaphraFgt-1.0-8B-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Stephen16/SaphraFgt-1.0-8B-GGUF:Q4_K_M

Ollama
How to use Stephen16/SaphraFgt-1.0-8B-GGUF with Ollama:
```
ollama run hf.co/Stephen16/SaphraFgt-1.0-8B-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use Stephen16/SaphraFgt-1.0-8B-GGUF with Docker Model Runner:
```
docker model run hf.co/Stephen16/SaphraFgt-1.0-8B-GGUF:Q4_K_M
```

Lemonade

How to use Stephen16/SaphraFgt-1.0-8B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Stephen16/SaphraFgt-1.0-8B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.SaphraFgt-1.0-8B-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

SaphraFgt 1.0 8B

A fine-tuned Meta Llama 3.1 8B coding model optimized for frontend development, HTML, CSS, JavaScript, UI/UX, bug fixing, code editing, and complete website generation.

✨ Features

✅ Complete HTML generation
✅ CSS styling
✅ JavaScript development
✅ Responsive website creation
✅ UI/UX implementation
✅ Bug fixing
✅ Code debugging
✅ Code completion
✅ Code refactoring
✅ Frontend optimization

📊 Benchmarks

Benchmark	Score
HumanEval (Pass@1)	36.6%
MBPP (Pass@1)	41.5%

Benchmark Comparison

🎯 Optimized For

HTML5
CSS3
JavaScript (ES6+)
Responsive Web Design
Landing Pages
Dashboards
Portfolio Websites
E-commerce Websites
UI Components
Frontend Debugging

💻 Ollama

Run locally using Ollama.

ollama run SaphraFgt/saphrafgt-1-0-8b

🦙 llama.cpp

llama-cli -m SaphraFgt-1.0-8B-Q4_K_M.gguf

💬 Example Prompt

User

Create a responsive ecommerce homepage using HTML, CSS and JavaScript.

Assistant

Produces a complete responsive webpage with:

Navigation Bar
Hero Section
Product Cards
Responsive Layout
Modern UI
Clean CSS
Interactive JavaScript

📈 Comparison

Compared against several open-source 7B coding models.

Model	HumanEval	MBPP
SaphraFgt 1.0 8B	36.6%	41.5%
Code Llama 7B	33.5%	41.4%
Gemma 7B	32.3%	38.0%
Mistral 7B	26.2%	50.2%
LLaMA 2 7B	16.8%	20.8%

⚙️ Quantization

Included GGUF format

Q4_K_M

Optimized for llama.cpp and Ollama.

📦 Files

File	Description
SaphraFgt-1.0-8B-Q4_K_M.gguf	Recommended GGUF model
Modelfile	Ollama Modelfile

👨‍💻 Creator

Seelam Reuben Stephen

📄 License

This model is based on Meta Llama 3.1 and follows the Llama 3.1 Community License.

⭐ Support

If you find this model useful, please consider:

⭐ Liking the model
🍴 Sharing it
🐛 Reporting issues
💡 Suggesting improvements

Happy Coding! 🚀

Downloads last month: 197

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

4-bit

Model tree for Stephen16/SaphraFgt-1.0-8B-GGUF

Base model

meta-llama/Llama-3.1-8B

Quantized

unsloth/Meta-Llama-3.1-8B-bnb-4bit

Quantized

(236)

this model