Instructions to use impactframes/llama3_if_ai_sdpromptmkr_q2k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use impactframes/llama3_if_ai_sdpromptmkr_q2k with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="impactframes/llama3_if_ai_sdpromptmkr_q2k",
	filename="Q2_K.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 impactframes/llama3_if_ai_sdpromptmkr_q2k with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf impactframes/llama3_if_ai_sdpromptmkr_q2k:Q2_K
# Run inference directly in the terminal:
llama-cli -hf impactframes/llama3_if_ai_sdpromptmkr_q2k:Q2_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf impactframes/llama3_if_ai_sdpromptmkr_q2k:Q2_K
# Run inference directly in the terminal:
llama-cli -hf impactframes/llama3_if_ai_sdpromptmkr_q2k:Q2_K

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 impactframes/llama3_if_ai_sdpromptmkr_q2k:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf impactframes/llama3_if_ai_sdpromptmkr_q2k:Q2_K

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 impactframes/llama3_if_ai_sdpromptmkr_q2k:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf impactframes/llama3_if_ai_sdpromptmkr_q2k:Q2_K

Use Docker

docker model run hf.co/impactframes/llama3_if_ai_sdpromptmkr_q2k:Q2_K

LM Studio
Jan
Ollama
How to use impactframes/llama3_if_ai_sdpromptmkr_q2k with Ollama:
```
ollama run hf.co/impactframes/llama3_if_ai_sdpromptmkr_q2k:Q2_K
```

Unsloth Studio new

How to use impactframes/llama3_if_ai_sdpromptmkr_q2k 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 impactframes/llama3_if_ai_sdpromptmkr_q2k 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 impactframes/llama3_if_ai_sdpromptmkr_q2k to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for impactframes/llama3_if_ai_sdpromptmkr_q2k to start chatting

Docker Model Runner
How to use impactframes/llama3_if_ai_sdpromptmkr_q2k with Docker Model Runner:
```
docker model run hf.co/impactframes/llama3_if_ai_sdpromptmkr_q2k:Q2_K
```

Lemonade

How to use impactframes/llama3_if_ai_sdpromptmkr_q2k with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull impactframes/llama3_if_ai_sdpromptmkr_q2k:Q2_K

Run and chat with the model

lemonade run user.llama3_if_ai_sdpromptmkr_q2k-Q2_K

List all available models

lemonade list

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

LLaMA3 License and Usage

Introduction

The LLaMA3 model is equipped to deliver superior results in machine learning applications. This model is particularly effective when used in conjunction with the IF_AI_tools custom node for ComfyUI and the IF_PromptMKr, my extension for A1111 Forge and Next platforms.

Model Training

LLaMA3 has been meticulously trained on a synthetic dataset comprising over 50,000 high-quality, stable diffusion prompts, ensuring robustness and high performance across various tasks.

Useful Links

Support

Your support is invaluable in continuing the development and enhancement of tools like these. If you find this tool useful, please consider extending your support by:

Starring the repository on GitHub: Star ComfyUI-IF_AI_tools
Subscribing to my YouTube channel: Impact Frames on YouTube
Donating on Ko-fi: Support Impact Frames on Ko-fi
Becoming a patron on Patreon: Support via Patreon

Thank you for your interest and support!

Developed by: impactframes
License: apache-2.0
Finetuned from model : unsloth/llama-3-8b-bnb-4bit

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

Downloads last month: 4

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

2-bit

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