What are the hardware requirements for Telugu Gemma 7B Finetuned Sft?

Telugu Gemma 7B Finetuned Sft requires approximately 0.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Telugu Gemma 7B Finetuned Sft and how large is it?

Telugu Gemma 7B Finetuned Sft 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.

Where can I download or evaluate Telugu Gemma 7B Finetuned Sft?

Telugu Gemma 7B Finetuned Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Telugu Gemma 7B Finetuned Sft by Telugu-LLM-Labs — VRAM 0.8GB

Name: Telugu Gemma 7B Finetuned Sft
Author: Telugu-LLM-Labs

Telugu Gemma 7B Finetuned Sft is an open-source language model by Telugu-LLM-Labs. Features: 7b LLM, VRAM: 0.8GB, License: other, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.12.

Base model:finetune:google/gem... Base model:google/gemma-7b Dataset:telugu-llm-labs/telugu... Dataset:telugu-llm-labs/telugu... En Endpoints compatible Finetuned Instruct Lora Region:us Safetensors Te

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

Telugu Gemma 7B Finetuned Sft Benchmarks

LLME Score: 0.12091

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Telugu Gemma 7B Finetuned Sft (Telugu-LLM-Labs/Telugu-gemma-7b-finetuned-sft)

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Telugu Gemma 7B Finetuned Sft Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

text generation

Applications:

instruction-following tasks

Additional Notes

The model currently supports Telugu text generation with upcoming updates for transliteration. Inference can be done using unsloth or HuggingFace library.

Supported Languages

en (English), te (Telugu)

Training Details

Data Sources:

yahma_alpaca_cleaned_telugu_filtered_and_romanized, teknium_GPTeacher_general_instruct_telugu_filtered_and_romanized

Methodology:

LoRA finetuning using unsloth library

Context Length:

2048

Input Output

Input Format:

### Instruction: {instruction} ### Input: {input} ## Response: {response}

Accepted Modalities:

text

Output Format:

string/text

Performance Tips:

Use specific libraries for faster inference, e.g., unsloth or HuggingFace

LLM Name	Telugu Gemma 7B Finetuned Sft
Repository 🤗	https://huggingface.co/Telugu-LLM-Labs/Telugu-gemma-7b-finetuned-sft
Base Model(s)	Gemma 7B google/gemma-7b
Model Size	7b
Required VRAM	0.8 GB
Updated	2026-04-24
Maintainer	Telugu-LLM-Labs
Instruction-Based	Yes
Model Files	0.8 GB
Supported Languages	te en
Model Architecture	AutoModel
License	other
Model Max Length	8192
Is Biased	none
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|k_proj\|v_proj\|gate_proj\|down_proj\|up_proj\|q_proj
LoRA Alpha	128
LoRA Dropout	0
R Param	64

Best Alternatives to Telugu Gemma 7B Finetuned Sft

Best Alternatives	Context / RAM	Downloads	Likes
... 7b 448 Qinstruct Preview V0.1	2K / 17.3 GB	6	4
Autotrain Z7uyk Cwqtz	0K / 0.2 GB	7	0
Qwen 2.5 7B 1M RRP V1 Lora	0K / 0.2 GB	0	3
...2.5 7B Instruct Abliterated V3	0K / 0.2 GB	0	1
Medical Mixtral 7B V2k	0K / 0.4 GB	19	0
Mistral 7B Instruct V0.2 ONNX	0K / GB	25	6
...emma 7B Finetuned Sft Navarasa	0K / 0.8 GB	0	9
...l 7B Instructv0.2 Finetuned V2	0K / 0 GB	53	41
...tral 7B Instruct V0.1 Int8 Ct2	0K / 7.2 GB	1	2
...tral 7B Instruct V0.1 Ct2 Int8	0K / 7.2 GB	2	2

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

Rank the Telugu Gemma 7B Finetuned Sft Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Telugu Gemma 7B Finetuned Sft Benchmarks

Telugu Gemma 7B Finetuned Sft Parameters and Internals

Best Alternatives to Telugu Gemma 7B Finetuned Sft

Rank the Telugu Gemma 7B Finetuned Sft Capabilities

What open-source LLMs or SLMs are you in search of? 53254 in total.