Instructions to use divyanshukunwar/SASTRI_1_9B_GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use divyanshukunwar/SASTRI_1_9B_GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("divyanshukunwar/SASTRI_1_9B_GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use divyanshukunwar/SASTRI_1_9B_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 divyanshukunwar/SASTRI_1_9B_GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf divyanshukunwar/SASTRI_1_9B_GGUF:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf divyanshukunwar/SASTRI_1_9B_GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf divyanshukunwar/SASTRI_1_9B_GGUF:Q8_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 divyanshukunwar/SASTRI_1_9B_GGUF:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf divyanshukunwar/SASTRI_1_9B_GGUF:Q8_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 divyanshukunwar/SASTRI_1_9B_GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf divyanshukunwar/SASTRI_1_9B_GGUF:Q8_0
Use Docker
docker model run hf.co/divyanshukunwar/SASTRI_1_9B_GGUF:Q8_0
- LM Studio
- Jan
- Ollama
How to use divyanshukunwar/SASTRI_1_9B_GGUF with Ollama:
ollama run hf.co/divyanshukunwar/SASTRI_1_9B_GGUF:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use divyanshukunwar/SASTRI_1_9B_GGUF with Docker Model Runner:
docker model run hf.co/divyanshukunwar/SASTRI_1_9B_GGUF:Q8_0
- Lemonade
How to use divyanshukunwar/SASTRI_1_9B_GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull divyanshukunwar/SASTRI_1_9B_GGUF:Q8_0
Run and chat with the model
lemonade run user.SASTRI_1_9B_GGUF-Q8_0
List all available models
lemonade list
- Atomic Chat
This is GGUF version of the model. SASTRI_1_9B is a new model fine tuned for bhojpuri & hindi languages. More detail about the dataset used and evaluation will be shared soon. Model trained on similar languages can be adapted for a very low resource language.
Let's see what model has to say about itself.
You can also download the original safetensor version from : https://huggingface.co/divyanshukunwar/SASTRI_1_9B
User : Tell me about yourself
Assistant : Hi there! I am SASTRI, an AI assistant designed to help you with various tasks and answer questions as best as my programming allows.
As a large language model, I don't have personal feelings or emotions like humans do but rest assured that I am here to assist you with anything within my capabilities!
User : aap or kon kon si bhaasa me likh skte hai ?
Assistant : मैं कई भाषाओं को समझता हूँ और उनमें बातचीत कर सकता हूँ, हिंदी में लिखने के अलावा मैं अंग्रेजी और भोजपुरी भी जानता हूं। 🇮🇳
Evaluation Result for English Language
| Dataset | Metric | Score |
|---|---|---|
| Arc-Easy | Accuracy | 94.2 |
| Arc-Challenge | Accuracy | 86.1 |
| MMLU | Accuracy | 61.0 |
| BoolQ | Accuracy | 79.04 |
Evaluation Result for Hindi Language
| Dataset | Metric | Score |
|---|---|---|
| Arc-Easy | Accuracy | 80.2 |
| Arc-Challenge | Accuracy | 68.35 |
| MMLU | Accuracy | 43.11 |
| BoolQ | Accuracy | 71.61 |
Evaluation Result for Bhojpuri Language coming soon ..
Model may show undersired behavior such as hallucinations and unintended biases use it at your own risk. This model is not optimized for user preference. This model is released as a part of study for Large Language model for very low resource languages.
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Base model
google/gemma-2-9b
