license, base_model, tags, pipeline_tag, language

license	base_model	tags	pipeline_tag	language
apache-2.0	sarvamai/sarvam-1-v0.5	gguf llama-cpp quantized ollama indic indian-languages hindi multilingual sarvam	text-generation	en hi bn ta te kn ml mr pa gu or

Sarvam-1-v0.5 GGUF

GGUF quantized versions of sarvamai/sarvam-1-v0.5 for local inference with llama.cpp, Ollama, LM Studio, and GPT4All.

Sarvam-1 is an Indian multilingual LLM built by Sarvam AI — supporting 22 Indian languages including Hindi, Bengali, Tamil, Telugu, Kannada, Malayalam, Marathi, Punjabi, Gujarati, and Odia. Based on Llama architecture with 3.1B parameters.

Available Quantizations

File	Quant	Size	RAM Needed	Use Case
sarvam-1-v0.5-Q8_0.gguf	Q8_0	2.5 GB	~4 GB	Best quality, near-lossless
sarvam-1-v0.5-f16.gguf	F16	4.7 GB	~6 GB	Full precision, maximum quality

How to Use

With llama.cpp

./llama-cli -m sarvam-1-v0.5-Q8_0.gguf -p "भारत की राजधानी क्या है?" -n 256

With Ollama

# Create a Modelfile
echo 'FROM ./sarvam-1-v0.5-Q8_0.gguf' > Modelfile
ollama create sarvam -f Modelfile
ollama run sarvam

With LM Studio

1. Download the Q8_0 file
2. Open LM Studio → Load Model → Select the file
3. Start chatting in English or any supported Indian language

Model Details

• Architecture: Llama
• Parameters: 3.1B
• Hidden Size: 2048
• Layers: 28
• Attention Heads: 16
• Context Length: Check original model card
• Languages: English + 22 Indian languages (Hindi, Bengali, Tamil, Telugu, Kannada, Malayalam, Marathi, Punjabi, Gujarati, Odia, and more)
• License: Apache 2.0

Original Model

Built by Sarvam AI — India's leading AI research company. See the original model at sarvamai/sarvam-1-v0.5.

Quantized by

Shaswata Tripathy | GitHub | Medium | LinkedIn | Hugging Face