Instructions to use hectorruiz9/HECTRON with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use hectorruiz9/HECTRON with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="hectorruiz9/HECTRON",
	filename="Llama-AbadaLabs-HECTRON-8b-instruct-q4_0.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 hectorruiz9/HECTRON with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf hectorruiz9/HECTRON:Q4_0
# Run inference directly in the terminal:
llama-cli -hf hectorruiz9/HECTRON:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf hectorruiz9/HECTRON:Q4_0
# Run inference directly in the terminal:
llama-cli -hf hectorruiz9/HECTRON:Q4_0

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 hectorruiz9/HECTRON:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf hectorruiz9/HECTRON:Q4_0

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 hectorruiz9/HECTRON:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf hectorruiz9/HECTRON:Q4_0

Use Docker

docker model run hf.co/hectorruiz9/HECTRON:Q4_0

LM Studio
Jan
Ollama
How to use hectorruiz9/HECTRON with Ollama:
```
ollama run hf.co/hectorruiz9/HECTRON:Q4_0
```

Unsloth Studio new

How to use hectorruiz9/HECTRON 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 hectorruiz9/HECTRON 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 hectorruiz9/HECTRON to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for hectorruiz9/HECTRON to start chatting

Docker Model Runner
How to use hectorruiz9/HECTRON with Docker Model Runner:
```
docker model run hf.co/hectorruiz9/HECTRON:Q4_0
```

Lemonade

How to use hectorruiz9/HECTRON with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull hectorruiz9/HECTRON:Q4_0

Run and chat with the model

lemonade run user.HECTRON-Q4_0

List all available models

lemonade list

https://github.com/hector1-cloud/https-huggingface.co-AbadaLabs-HECTRON.git

by hectorruiz9 - opened 17 days ago

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

+58

-631

This PR is in draft mode

hectorruiz9

Owner 17 days ago

No description provided.

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

Publish this branch

This branch is in draft mode, publish it to be able to merge.

· Sign up or log in to comment