Instructions to use moemoe101/llama2-AISmartRecipe-Full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use moemoe101/llama2-AISmartRecipe-Full with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="moemoe101/llama2-AISmartRecipe-Full",
	filename="FULL 4.16.100.2E-5.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use moemoe101/llama2-AISmartRecipe-Full 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 moemoe101/llama2-AISmartRecipe-Full
# Run inference directly in the terminal:
llama cli -hf moemoe101/llama2-AISmartRecipe-Full

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf moemoe101/llama2-AISmartRecipe-Full
# Run inference directly in the terminal:
llama cli -hf moemoe101/llama2-AISmartRecipe-Full

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 moemoe101/llama2-AISmartRecipe-Full
# Run inference directly in the terminal:
./llama-cli -hf moemoe101/llama2-AISmartRecipe-Full

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 moemoe101/llama2-AISmartRecipe-Full
# Run inference directly in the terminal:
./build/bin/llama-cli -hf moemoe101/llama2-AISmartRecipe-Full

Use Docker

docker model run hf.co/moemoe101/llama2-AISmartRecipe-Full

LM Studio
Jan
Ollama
How to use moemoe101/llama2-AISmartRecipe-Full with Ollama:
```
ollama run hf.co/moemoe101/llama2-AISmartRecipe-Full
```

Unsloth Studio

How to use moemoe101/llama2-AISmartRecipe-Full 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 moemoe101/llama2-AISmartRecipe-Full 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 moemoe101/llama2-AISmartRecipe-Full to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for moemoe101/llama2-AISmartRecipe-Full to start chatting

Atomic Chat new
Docker Model Runner
How to use moemoe101/llama2-AISmartRecipe-Full with Docker Model Runner:
```
docker model run hf.co/moemoe101/llama2-AISmartRecipe-Full
```

Lemonade

How to use moemoe101/llama2-AISmartRecipe-Full with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull moemoe101/llama2-AISmartRecipe-Full

Run and chat with the model

lemonade run user.llama2-AISmartRecipe-Full-{{QUANT_TAG}}

List all available models

lemonade list

This is my very first finetuned model that i have created for a recipe generating AI model based from ingredients inputted by the user.

The basis of the model is llama2 7b, finetuned with the recipe_nlg dataset which is further filtered down to include most of the best recipes as the data.

There are many versions of the model as I experiment with a lot of the hyperparameters. The name of the model indicates which parameters that was used when training for that model. The parameters starting from Lora rank, alpha, training steps, and lastly the learning rate.

There are many intricacies to the model based on which parameters i adjusted. So not all model has the same consistency or performance. Some version of the model performed much better than the others etc.

The best way to use this model includes a prompt of "Create a detailed step by step cooking recipe instructions based on these ingredients". And then inputting what items you would like to include in said recipe.

Any feedback is welcomed. You can contact me on discord under the discord username _moemoe_

Downloads last month: 10

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

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moemoe101
/

llama2-AISmartRecipe-Full

Dataset used to train moemoe101/llama2-AISmartRecipe-Full