Instructions to use RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-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 RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-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 RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-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 RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-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 RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-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 RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-gguf:Q4_K_M

Use Docker

docker model run hf.co/RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-gguf:Q4_K_M

LM Studio
Jan
Ollama
How to use RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-gguf with Ollama:
```
ollama run hf.co/RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-gguf:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-gguf with Docker Model Runner:
```
docker model run hf.co/RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-gguf:Q4_K_M
```

Lemonade

How to use RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull RichardErkhov/onlineeric_-_pythia-160m_ft_CookingRecipes-gguf:Q4_K_M

Run and chat with the model

lemonade run user.onlineeric_-_pythia-160m_ft_CookingRecipes-gguf-Q4_K_M

List all available models

lemonade list

Atomic Chat

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

Check out the documentation for more information.

Quantization made by Richard Erkhov.

Github

Discord

Request more models

pythia-160m_ft_CookingRecipes - GGUF

Model creator: https://huggingface.co/onlineeric/
Original model: https://huggingface.co/onlineeric/pythia-160m_ft_CookingRecipes/

Name	Quant method	Size
pythia-160m_ft_CookingRecipes.Q2_K.gguf	Q2_K	0.07GB
pythia-160m_ft_CookingRecipes.IQ3_XS.gguf	IQ3_XS	0.08GB
pythia-160m_ft_CookingRecipes.IQ3_S.gguf	IQ3_S	0.08GB
pythia-160m_ft_CookingRecipes.Q3_K_S.gguf	Q3_K_S	0.08GB
pythia-160m_ft_CookingRecipes.IQ3_M.gguf	IQ3_M	0.08GB
pythia-160m_ft_CookingRecipes.Q3_K.gguf	Q3_K	0.09GB
pythia-160m_ft_CookingRecipes.Q3_K_M.gguf	Q3_K_M	0.09GB
pythia-160m_ft_CookingRecipes.Q3_K_L.gguf	Q3_K_L	0.09GB
pythia-160m_ft_CookingRecipes.IQ4_XS.gguf	IQ4_XS	0.09GB
pythia-160m_ft_CookingRecipes.Q4_0.gguf	Q4_0	0.1GB
pythia-160m_ft_CookingRecipes.IQ4_NL.gguf	IQ4_NL	0.1GB
pythia-160m_ft_CookingRecipes.Q4_K_S.gguf	Q4_K_S	0.1GB
pythia-160m_ft_CookingRecipes.Q4_K.gguf	Q4_K	0.1GB
pythia-160m_ft_CookingRecipes.Q4_K_M.gguf	Q4_K_M	0.1GB
pythia-160m_ft_CookingRecipes.Q4_1.gguf	Q4_1	0.1GB
pythia-160m_ft_CookingRecipes.Q5_0.gguf	Q5_0	0.11GB
pythia-160m_ft_CookingRecipes.Q5_K_S.gguf	Q5_K_S	0.11GB
pythia-160m_ft_CookingRecipes.Q5_K.gguf	Q5_K	0.12GB
pythia-160m_ft_CookingRecipes.Q5_K_M.gguf	Q5_K_M	0.12GB
pythia-160m_ft_CookingRecipes.Q5_1.gguf	Q5_1	0.12GB
pythia-160m_ft_CookingRecipes.Q6_K.gguf	Q6_K	0.13GB
pythia-160m_ft_CookingRecipes.Q8_0.gguf	Q8_0	0.16GB

Original model description:

license: mit

Eric's fine tuning data model

This data modle is one of my personal learning project.
Please check my Eric live Demo Site
Also plesae visit My git repo

This data model originates from EleutherAI/pythia-160m.

It has been fine-tuned using the first 10,000 records from the CodeKapital/CookingRecipes dataset.

RichardErkhov
/

onlineeric_-_pythia-160m_ft_CookingRecipes-gguf

Original model description:

license: mit

Eric's fine tuning data model

Links