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

Libraries

How to use namankhator/lora_model with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("namankhator/lora_model", dtype="auto")

llama-cpp-python

How to use namankhator/lora_model with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="namankhator/lora_model",
	filename="unsloth.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 namankhator/lora_model with llama.cpp:

Install from brew

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

Install from WinGet (Windows)

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

Use Docker

docker model run hf.co/namankhator/lora_model:F16

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

Unsloth Studio new

How to use namankhator/lora_model 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 namankhator/lora_model 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 namankhator/lora_model to start chatting

Using HuggingFace Spaces for Unsloth

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

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

Lemonade

How to use namankhator/lora_model with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull namankhator/lora_model:F16

Run and chat with the model

lemonade run user.lora_model-F16

List all available models

lemonade list

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Gated model

You can list files but not access them

Preview of files found in this repository

You need to agree to share your contact information to access this model

Gated model You can list files but not access them

Gated model

You can list files but not access them