GGUF
How to use from
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 IkariDev/Athnete-13B-GGUF:
# Run inference directly in the terminal:
llama cli -hf IkariDev/Athnete-13B-GGUF:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf IkariDev/Athnete-13B-GGUF:
# Run inference directly in the terminal:
llama cli -hf IkariDev/Athnete-13B-GGUF:
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 IkariDev/Athnete-13B-GGUF:
# Run inference directly in the terminal:
./llama-cli -hf IkariDev/Athnete-13B-GGUF:
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 IkariDev/Athnete-13B-GGUF:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf IkariDev/Athnete-13B-GGUF:
Use Docker
docker model run hf.co/IkariDev/Athnete-13B-GGUF:
Quick Links

image/png

Athnete model. Use Alpaca format. Suitable for RP, ERP and general stuff.

Despite the awful banner i made, this model could actually be better than raw Athena v3.

Description

This repo contains GGUF files of Athnete.

fp16 - by IkariDev

GGUF - by IkariDev

Ratings:

Note: I have permission of all users to upload their ratings, i DONT screenshot random reviews without asking if i can put them here!

Models and loras used

  • IkariDev/Athena-v3
  • Undi95/Nete-13B

Prompt template: Alpaca

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{prompt}

### Response:

HUGE thanks to Undi95 for doing the merging (Recipe was my idea, he merged)

Downloads last month
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GGUF
Model size
13B params
Architecture
llama
Hardware compatibility
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