---
base_model: Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0
datasets:
- ravithejads/samvaad-hi-filtered
- Telugu-LLM-Labs/telugu_teknium_GPTeacher_general_instruct_filtered_romanized
- Telugu-LLM-Labs/telugu_alpaca_yahma_cleaned_filtered_romanized
- Telugu-LLM-Labs/sindhi_alpaca_yahma_cleaned_filtered
- Telugu-LLM-Labs/urdu_alpaca_yahma_cleaned_filtered
- Telugu-LLM-Labs/marathi_alpaca_yahma_cleaned_filtered
- Telugu-LLM-Labs/assamese_alpaca_yahma_cleaned_filtered
- Telugu-LLM-Labs/konkani_alpaca_yahma_cleaned_filtered
- Telugu-LLM-Labs/nepali_alpaca_yahma_cleaned_filtered
- abhinand/tamil-alpaca
- Tensoic/airoboros-3.2_kn
- Tensoic/gpt-teacher_kn
- VishnuPJ/Alpaca_Instruct_Malayalam
- Tensoic/Alpaca-Gujarati
- HydraIndicLM/punjabi_alpaca_52K
- HydraIndicLM/bengali_alpaca_dolly_67k
- OdiaGenAI/Odia_Alpaca_instructions_52k
- yahma/alpaca-cleaned
language:
- te
- en
- ta
- ml
- mr
- hi
- kn
- sd
- ne
- ur
- as
- gu
- bn
- pa
- or
library_name: transformers
license: other
license_name: gemma-terms-of-use
license_link: https://ai.google.dev/gemma/terms
pipeline_tag: text-generation
tags:
- llama-cpp
- gguf-my-repo
---

# ar08/Indic-gemma-7b-finetuned-sft-Navarasa-2.0-IQ3_M-GGUF
This model was converted to GGUF format from [`Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0`](https://huggingface.co/Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0) for more details on the model.

## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)

```bash
brew install llama.cpp

```
Invoke the llama.cpp server or the CLI.

### CLI:
```bash
llama-cli --hf-repo ar08/Indic-gemma-7b-finetuned-sft-Navarasa-2.0-IQ3_M-GGUF --hf-file indic-gemma-7b-finetuned-sft-navarasa-2.0-iq3_m-imat.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo ar08/Indic-gemma-7b-finetuned-sft-Navarasa-2.0-IQ3_M-GGUF --hf-file indic-gemma-7b-finetuned-sft-navarasa-2.0-iq3_m-imat.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```

Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```

Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo ar08/Indic-gemma-7b-finetuned-sft-Navarasa-2.0-IQ3_M-GGUF --hf-file indic-gemma-7b-finetuned-sft-navarasa-2.0-iq3_m-imat.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo ar08/Indic-gemma-7b-finetuned-sft-Navarasa-2.0-IQ3_M-GGUF --hf-file indic-gemma-7b-finetuned-sft-navarasa-2.0-iq3_m-imat.gguf -c 2048
```