Instructions to use VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF
# Run inference directly in the terminal:
llama cli -hf VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF
# Run inference directly in the terminal:
llama cli -hf VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF

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 VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF
# Run inference directly in the terminal:
./llama-cli -hf VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF

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 VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF
# Run inference directly in the terminal:
./build/bin/llama-cli -hf VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF

Use Docker

docker model run hf.co/VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF

LM Studio
Jan

vLLM

How to use VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF

Ollama
How to use VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF with Ollama:
```
ollama run hf.co/VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF
```

Unsloth Studio

How to use VishnuPJ/MalayaLLM_7B_Instruct_v0.2_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 VishnuPJ/MalayaLLM_7B_Instruct_v0.2_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 VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF with Docker Model Runner:
```
docker model run hf.co/VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF
```

Lemonade

How to use VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF

Run and chat with the model

lemonade run user.MalayaLLM_7B_Instruct_v0.2_GGUF-{{QUANT_TAG}}

List all available models

lemonade list

MalayaLLM [മലയാളം/Malayalam]

GGUF version of MalayaLLM_7B_Instruct_v0.2_GGUF
8 bit quantized model.

MalayaLLM_7B_Instruct_v0.2_GGUF

This is an attempt to construct a Language Model (LLM) focused on generative AI for Malayalam language. While several LLMs are proficient in supporting multiple languages, including Malayalam, enhancing their performance for specific tasks such as content generation and question answering specifically in Malayalam can be achieved through dedicated training on a Malayalam dataset. In pursuit of this, I've undertaken the continuous pre-training of the LLAMA2 model using a comprehensive Malayalam dataset.

The model is currently in its early stages, and ongoing training and fine-tuning with a more comprehensive dataset are necessary to enhance its performance. I will consistently provide updated revisions to the model.

Github Repo:

For comprehensive insights into model training, fine-tuning, and other advanced techniques, refer to the MalayaLLM GitHub repository at the following link: https://github.com/VishnuPJ/MalayaLLM

Introducing the Developer:

Discover the mind behind this model and stay updated on their contributions to the field https://www.linkedin.com/in/vishnu-prasad-j/

Model description

The MalayaLLM models have been improved and customized to incorporate a comprehensive Malayalam vocabulary comprising approximately 18,000 tokens, expanding upon the groundwork laid by the original LLaMA-2.

Prompt Template Without Input

{system_prompt}
### Instruction:
{instruction or query}
### Response:
{response}

Prompt Template With Input

{system_prompt}
### Instruction:
{instruction or query}
### Input:
{input}
### Response:
{response}

Available Models

Model	Type	Data	Base Model	# Params	Download Links
MalayaLLM 7B Base #v0.1	Base model	12GB	LLaMA 7B	7B	HF Hub
MalayaLLM 7B Instruct #v0.1	Instruction following model	52k instructions	MalayaLLM 7B Base	7B	HF Hub
MalayaLLM 7B Instruct #v0.2	Instruction following model	52k instructions	MalayaLLM 7B Base	7B	HF Hub
Note : MalayaLLM 7B Instruct v0.2 is the latest model.**

Quantized Version of Available Models

Model	Format	Bits	Download Links
MalayaLLM 7B Instruct #v0.1	GGUF	Q8_0	HF Hub
MalayaLLM 7B Instruct #v0.2	GGUF	Q8_0	HF Hub

# 🌟Happy coding💻🌟

Downloads last month: 11

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Collection including VishnuPJ/MalayaLLM_7B_Instruct_v0.2_GGUF

MalayaLLM[മലയാളം/Malayalam]: Llama2-7B

Collection

Llama-2 based Malayalam pretrained , finetuned models. • 6 items • Updated Aug 28, 2024 • 5