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

Stephen16 commited on 20 days ago

Commit

dbdce3d

verified ·

1 Parent(s): 8a5c416

Update README.md

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@@ -21,7 +21,7 @@ library_name: llama.cpp
 base_model: unsloth/Meta-Llama-3.1-8B-bnb-4bit
 ---
-# 🚀 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**.

 base_model: unsloth/Meta-Llama-3.1-8B-bnb-4bit
 ---
+# 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**.