What are the hardware requirements for Indic Gemma 7B Finetuned Sft Navarasa 2.0?

Indic Gemma 7B Finetuned Sft Navarasa 2.0 requires approximately 34 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Indic Gemma 7B Finetuned Sft Navarasa 2.0 and how large is it?

Indic Gemma 7B Finetuned Sft Navarasa 2.0 is developed by Telugu-LLM-Labs, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Indic Gemma 7B Finetuned Sft Navarasa 2.0 perform on standard benchmarks?

Indic Gemma 7B Finetuned Sft Navarasa 2.0 has the following published scores: MMLU 54.15. Compare against reference models on this page or on the LLM Explorer leaderboards.

Indic Gemma 7B Finetuned Sft Navarasa 2.0 by Telugu-LLM-Labs — VRAM 34GB, 8K context

Name: Indic Gemma 7B Finetuned Sft Navarasa 2.0
Rating: 2 (1 reviews)
Author: Telugu-LLM-Labs

Indic Gemma 7B Finetuned Sft Navarasa 2.0 is an open-source language model by Telugu-LLM-Labs. Features: 7b LLM, VRAM: 34GB, Context: 8K, License: other, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.18, Arc: 54.6, HellaSwag: 74.4, MMLU: 54.2, GSM8K: 32.2.

As Base model:finetune:google/gem... Base model:google/gemma-7b Bn Dataset:abhinand/tamil-alpaca Dataset:hydraindiclm/bengali a... Dataset:hydraindiclm/punjabi a... Dataset:odiagenai/odia alpaca ... Dataset:ravithejads/samvaad-hi... Dataset:telugu-llm-labs/assame... Dataset:telugu-llm-labs/konkan... Dataset:telugu-llm-labs/marath... Dataset:telugu-llm-labs/nepali... Dataset:telugu-llm-labs/sindhi... Dataset:telugu-llm-labs/telugu... Dataset:telugu-llm-labs/telugu... Dataset:telugu-llm-labs/urdu a... Dataset:tensoic/airoboros-3.2 ... Dataset:tensoic/alpaca-gujarat... Dataset:tensoic/gpt-teacher kn Dataset:vishnupj/alpaca instru... Dataset:yahma/alpaca-cleaned Deploy:azure En Endpoints compatible Finetuned Gemma Gu Hi Instruct Kn Ml Mr Ne Or Pa Region:us Safetensors Sd Sharded Ta Te Tensorflow Ur

Model Card on HF 🤗: https://huggingface.co/Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0

Indic Gemma 7B Finetuned Sft Navarasa 2.0 Parameters and Internals

LLM Name	Indic Gemma 7B Finetuned Sft Navarasa 2.0
Repository 🤗	https://huggingface.co/Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0
Base Model(s)	Gemma 7B google/gemma-7b
Model Size	7b
Required VRAM	34 GB
Updated	2026-08-07
Maintainer	Telugu-LLM-Labs
Model Type	gemma
Instruction-Based	Yes
Model Files	4.8 GB: 1-of-8 4.7 GB: 2-of-8 4.9 GB: 3-of-8 4.7 GB: 4-of-8 4.7 GB: 5-of-8 4.9 GB: 6-of-8 4.7 GB: 7-of-8 0.6 GB: 8-of-8
Supported Languages	te en ta ml mr hi kn sd ne ur as gu bn pa or
Model Architecture	GemmaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float32

Rank the Indic Gemma 7B Finetuned Sft Navarasa 2.0 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Indic Gemma 7B Finetuned Sft Navarasa 2.0

Best Alternatives	Context / RAM	Downloads	Likes
...emma 7B It Legal Refugiados Es	8K / 34 GB	5	0
Gemma Ko 7B Instruct V0.71	8K / 17 GB	3	1
Gemma Ko 7B Instruct V0.62	8K / 17 GB	16	2
X Instruction 7B Ta	8K / 17.1 GB	6	0
X Instruction 7B Id	8K / 17.1 GB	6	0
RoGemma 7B Instruct	8K / 17.1 GB	43	1
X Instruction 7B 10langs	8K / 17.1 GB	7	0
Zephyr Gemma 7B Telugu	8K / 17.1 GB	13	3
Gemma Ko 7B Instruct V0.52	8K / 17 GB	8	0
Gemma Ko 7B Instruct V0.50	8K / 17 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0.