Instructions to use eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-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 eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-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 eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-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 eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-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 eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-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 eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-gguf:Q4_K_M

Use Docker

docker model run hf.co/eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-gguf:Q4_K_M

LM Studio
Jan
Ollama
How to use eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-gguf with Ollama:
```
ollama run hf.co/eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-gguf:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-gguf with Docker Model Runner:
```
docker model run hf.co/eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-gguf:Q4_K_M
```

Lemonade

How to use eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull eigenben/llama-3-8b-bnb-4bit-alpaca-finetuned-gguf:Q4_K_M

Run and chat with the model

lemonade run user.llama-3-8b-bnb-4bit-alpaca-finetuned-gguf-Q4_K_M

List all available models

lemonade list

Atomic Chat

llama-3-8b-bnb-4bit-alpaca-finetuned-gguf / README.md

eigenben

Add README

fb2397e verified 9 months ago

preview code

Raw

History Blame Contribute Delete

474 Bytes

metadata

tags:
  - gguf
  - llama.cpp
  - unsloth

llama-3-8b-bnb-4bit-alpaca-finetuned-gguf - GGUF

This model was finetuned and converted to GGUF format using Unsloth.

Example usage:

For text only LLMs: llama-cli --hf repo_id/model_name -p "why is the sky blue?"
For multimodal models: llama-mtmd-cli -m model_name.gguf --mmproj mmproj_file.gguf

Available Model files:

llama-3-8b.Q4_K_M.gguf