Instructions to use omersaidd/tekstilGPTV5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use omersaidd/tekstilGPTV5 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="omersaidd/tekstilGPTV5",
	filename="meta-llama-3.1-0.06K-8b-bnb-4bit-F16.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use omersaidd/tekstilGPTV5 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf omersaidd/tekstilGPTV5:F16
# Run inference directly in the terminal:
llama-cli -hf omersaidd/tekstilGPTV5:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf omersaidd/tekstilGPTV5:F16
# Run inference directly in the terminal:
llama-cli -hf omersaidd/tekstilGPTV5:F16

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 omersaidd/tekstilGPTV5:F16
# Run inference directly in the terminal:
./llama-cli -hf omersaidd/tekstilGPTV5:F16

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 omersaidd/tekstilGPTV5:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf omersaidd/tekstilGPTV5:F16

Use Docker

docker model run hf.co/omersaidd/tekstilGPTV5:F16

LM Studio
Jan
Ollama
How to use omersaidd/tekstilGPTV5 with Ollama:
```
ollama run hf.co/omersaidd/tekstilGPTV5:F16
```

Unsloth Studio new

How to use omersaidd/tekstilGPTV5 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 omersaidd/tekstilGPTV5 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 omersaidd/tekstilGPTV5 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for omersaidd/tekstilGPTV5 to start chatting

Docker Model Runner
How to use omersaidd/tekstilGPTV5 with Docker Model Runner:
```
docker model run hf.co/omersaidd/tekstilGPTV5:F16
```

Lemonade

How to use omersaidd/tekstilGPTV5 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull omersaidd/tekstilGPTV5:F16

Run and chat with the model

lemonade run user.tekstilGPTV5-F16

List all available models

lemonade list

Adding `safetensors` variant of this model

by SFconvertbot - opened Aug 18, 2024

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+15

-0

SFconvertbot

Aug 18, 2024

This is an automated PR created with https://huggingface.co/spaces/safetensors/convert

This new file is equivalent to pytorch_model.bin but safe in the sense that
no arbitrary code can be put into it.

These files also happen to load much faster than their pytorch counterpart:
https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb

The widgets on your model page will run using this model even if this is not merged
making sure the file actually works.

If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions

Feel free to ignore this PR.

Adding `safetensors` variant of this model6f93bf0e

omersaidd changed pull request status to merged Aug 18, 2024

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

Tap or paste here to upload images

· Sign up or log in to comment