Instructions to use QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-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 QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-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 QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-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 QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-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 QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-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 QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M

Use Docker

docker model run hf.co/QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF with Ollama:
```
ollama run hf.co/QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF with Docker Model Runner:
```
docker model run hf.co/QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M
```

Lemonade

How to use QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Barcenas-14b-Phi-3-medium-ORPO-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

Barcenas-14b-Phi-3-medium-ORPO-GGUF / Barcenas-14b-Phi-3-medium-ORPO.Q5_K_M.gguf

aashish1904

Upload Barcenas-14b-Phi-3-medium-ORPO.Q5_K_M.gguf with huggingface_hub

d2157fe verified about 2 years ago

Download

History Blame GGUF Editor new Delete

9.88 GB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: 62560d148938c013e6324010202cd3396affb42536f40524db37bd5a194fb9dd
Size of remote file:: 9.88 GB
SHA256:: 959e14ca8b6bd7a41039c1ed6c4a27201955c1157cb7cc31aac59fe948ade8d3

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.