Text Generation
GGUF
Hindi
English
sashi
sashi-1.0
conversational
hindi
hinglish
india
varanasi
llama-cpp
Instructions to use ftmdeveloperz006/SaShi-1.0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use ftmdeveloperz006/SaShi-1.0-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 ftmdeveloperz006/SaShi-1.0-GGUF # Run inference directly in the terminal: llama cli -hf ftmdeveloperz006/SaShi-1.0-GGUF
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ftmdeveloperz006/SaShi-1.0-GGUF # Run inference directly in the terminal: llama cli -hf ftmdeveloperz006/SaShi-1.0-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 ftmdeveloperz006/SaShi-1.0-GGUF # Run inference directly in the terminal: ./llama-cli -hf ftmdeveloperz006/SaShi-1.0-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 ftmdeveloperz006/SaShi-1.0-GGUF # Run inference directly in the terminal: ./build/bin/llama-cli -hf ftmdeveloperz006/SaShi-1.0-GGUF
Use Docker
docker model run hf.co/ftmdeveloperz006/SaShi-1.0-GGUF
- LM Studio
- Jan
- vLLM
How to use ftmdeveloperz006/SaShi-1.0-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ftmdeveloperz006/SaShi-1.0-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ftmdeveloperz006/SaShi-1.0-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/ftmdeveloperz006/SaShi-1.0-GGUF
- Ollama
How to use ftmdeveloperz006/SaShi-1.0-GGUF with Ollama:
ollama run hf.co/ftmdeveloperz006/SaShi-1.0-GGUF
- Unsloth Desktop
- Docker Model Runner
How to use ftmdeveloperz006/SaShi-1.0-GGUF with Docker Model Runner:
docker model run hf.co/ftmdeveloperz006/SaShi-1.0-GGUF
- Lemonade
How to use ftmdeveloperz006/SaShi-1.0-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ftmdeveloperz006/SaShi-1.0-GGUF
Run and chat with the model
lemonade run user.SaShi-1.0-GGUF-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
๐ฎ๐ณ SaShi 1.0 (8B GGUF) โ India's Own Sovereign AI
SaShi 1.0 is an independent, sovereign conversational AI model engineered in Bharat by Two Brothers (named 'Sa-Shi') from Varanasi (Banaras), Uttar Pradesh.
๐ Origin & Vision
- Origin of Name: Sa-Shi (Named after the two brothers who developed & trained this model).
- Creators & Developers: Built and trained by Two Brothers in Varanasi (Kashi / Banaras), Uttar Pradesh, India.
- Specialization: Real Indian ground realities, fluent conversational Hinglish/Hindi, coding, and culturally rooted guidance.
- Format: GGUF
Q4_K_M(4-bit quantized for ultra-fast inference).
โ๏ธ Technical Specifications
| Parameter | Value |
|---|---|
| Model Name | SaShi 1.0 |
| Parameters | 8.03 Billion (8B) |
| Format | GGUF Q4_K_M |
| Creators | Two Brothers (Sa-Shi) โข Varanasi, UP ๐ฎ๐ณ |
| Primary Languages | Hinglish (Roman Hindi), Hindi (เคนเคฟเคจเฅเคฆเฅ), English |
๐ ๏ธ Usage with Ollama
- Download the
SaShi-1.0.gguffile. - Create a
Modelfile:
FROM ./SaShi-1.0.gguf
TEMPLATE """{{ if .System }}<|start_header_id|>system<|end_header_id|>
{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>
{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>
"""
PARAMETER stop "<|start_header_id|>"
PARAMETER stop "<|end_header_id|>"
PARAMETER stop "<|eot_id|>"
- Build and run:
ollama create sashi-1.0 -f Modelfile
ollama run sashi-1.0
๐ Usage with Python (llama-cpp-python)
from llama_cpp import Llama
llm = Llama(
model_path="SaShi-1.0.gguf",
n_ctx=2048,
n_gpu_layers=-1
)
output = llm(
"User: SaShi, tumhare baare me batao.\nSaShi:",
max_tokens=128,
stop=["User:", "<|eot_id|>"]
)
print(output["choices"][0]["text"])
SaShi was born out of a dream to prove that developers from India's cultural capital, Varanasi, can build sovereign, world-class artificial intelligence tailored for the unique spirit and ground realities of Bharat.
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