Instructions to use large-traversaal/Alif-1.0-8B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use large-traversaal/Alif-1.0-8B-Instruct with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("large-traversaal/Alif-1.0-8B-Instruct", dtype="auto")

llama-cpp-python

How to use large-traversaal/Alif-1.0-8B-Instruct with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="large-traversaal/Alif-1.0-8B-Instruct",
	filename="model-Q2_K.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use large-traversaal/Alif-1.0-8B-Instruct with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf large-traversaal/Alif-1.0-8B-Instruct:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf large-traversaal/Alif-1.0-8B-Instruct:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf large-traversaal/Alif-1.0-8B-Instruct:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf large-traversaal/Alif-1.0-8B-Instruct: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 large-traversaal/Alif-1.0-8B-Instruct:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf large-traversaal/Alif-1.0-8B-Instruct: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 large-traversaal/Alif-1.0-8B-Instruct:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf large-traversaal/Alif-1.0-8B-Instruct:Q4_K_M

Use Docker

docker model run hf.co/large-traversaal/Alif-1.0-8B-Instruct:Q4_K_M

LM Studio
Jan
Ollama
How to use large-traversaal/Alif-1.0-8B-Instruct with Ollama:
```
ollama run hf.co/large-traversaal/Alif-1.0-8B-Instruct:Q4_K_M
```

Unsloth Studio

How to use large-traversaal/Alif-1.0-8B-Instruct 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 large-traversaal/Alif-1.0-8B-Instruct 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 large-traversaal/Alif-1.0-8B-Instruct to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for large-traversaal/Alif-1.0-8B-Instruct to start chatting

Docker Model Runner
How to use large-traversaal/Alif-1.0-8B-Instruct with Docker Model Runner:
```
docker model run hf.co/large-traversaal/Alif-1.0-8B-Instruct:Q4_K_M
```

Lemonade

How to use large-traversaal/Alif-1.0-8B-Instruct with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull large-traversaal/Alif-1.0-8B-Instruct:Q4_K_M

Run and chat with the model

lemonade run user.Alif-1.0-8B-Instruct-Q4_K_M

List all available models

lemonade list

test

by AffanFaridi22 - opened Aug 11, 2025

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

-11

This PR is in draft mode

Files changed (1) hide show

README.md +0 -11

README.md CHANGED Viewed

@@ -90,17 +90,6 @@ We evaluated Alif 1.0 8B Instruct against Gemma 2 9B, Llama 3.1 8B, Mistral Nemo
 <img src="result2.jpg" width="650" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
-### Citation
-```bash
-@article{ShafiqueAlif2025,
-  title        = {Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation},
-  author       = {Muhammad Ali Shafique and Kanwal Mehreen and Muhammad Arham and Maaz Amjad and Sabur Butt and Hamza Farooq},
-  journal      = {arXiv preprint arXiv:2510.09051},
-  year         = {2025},
-  url          = {https://arxiv.org/abs/2510.09051}
-}
-```
 ### Model Card Contact
 For errors or additional questions about details in this model card, contact: contact@traversaal.ai

 <img src="result2.jpg" width="650" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
 ### Model Card Contact
 For errors or additional questions about details in this model card, contact: contact@traversaal.ai