Instructions to use NeverSleep/Nethena-13B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use NeverSleep/Nethena-13B-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="NeverSleep/Nethena-13B-GGUF", filename="Nethena-13B.Q4_K_M.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use NeverSleep/Nethena-13B-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf NeverSleep/Nethena-13B-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf NeverSleep/Nethena-13B-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf NeverSleep/Nethena-13B-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf NeverSleep/Nethena-13B-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 NeverSleep/Nethena-13B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf NeverSleep/Nethena-13B-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 NeverSleep/Nethena-13B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf NeverSleep/Nethena-13B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/NeverSleep/Nethena-13B-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use NeverSleep/Nethena-13B-GGUF with Ollama:
ollama run hf.co/NeverSleep/Nethena-13B-GGUF:Q4_K_M
- Unsloth Studio new
How to use NeverSleep/Nethena-13B-GGUF 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 NeverSleep/Nethena-13B-GGUF 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 NeverSleep/Nethena-13B-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for NeverSleep/Nethena-13B-GGUF to start chatting
- Docker Model Runner
How to use NeverSleep/Nethena-13B-GGUF with Docker Model Runner:
docker model run hf.co/NeverSleep/Nethena-13B-GGUF:Q4_K_M
- Lemonade
How to use NeverSleep/Nethena-13B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull NeverSleep/Nethena-13B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Nethena-13B-GGUF-Q4_K_M
List all available models
lemonade list
This model is a collab between IkariDev and Undi!
Nethena-13B model. Use Alpaca format. Suitable for RP, ERP and general stuff.
What would happen if we combine all of out best models? Well.. here it is, the holy grail: Echidna v0.3 + Athena v3 + Nete
This model also has a 20b version, you can check it out right here.
[Recommended settings - No settings yet(Please suggest some over in the Community tab!)]
Description
This repo contains GGUF files of Nethena-13B.
Ratings:
Note: We have permission of all users to upload their ratings, i DONT screenshot random reviews without asking if i can put them here!
No ratings yet!
If you want your rating to be here, send us a message over on DC and we'll put up a screenshot of it here. DC name is "ikaridev" and "undi".
Models+loras used and recipe
- NeverSleep/Echidna-13b-v0.3
- 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:
Others
Undi: If you want to support me, you can here.
IkariDev: Visit my retro/neocities style website please kek
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