What are the hardware requirements for Gemma 7B Alpaca Instruct Malayalam Model Vllm 4bit?

Gemma 7B Alpaca Instruct Malayalam Model Vllm 4bit requires approximately 5.6 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Gemma 7B Alpaca Instruct Malayalam Model Vllm 4bit?

Gemma 7B Alpaca Instruct Malayalam Model Vllm 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 7B Alpaca Instruct Malayalam Model Vllm 4bit by animaRegem — VRAM 5.6GB, 16K context

Name: Gemma 7B Alpaca Instruct Malayalam Model Vllm 4bit
Author: animaRegem

Gemma 7B Alpaca Instruct Malayalam Model Vllm 4bit is an open-source language model by animaRegem. Features: 7b LLM, VRAM: 5.6GB, Context: 16K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

4-bit 4bit Base model:quantized:unsloth/g... Base model:unsloth/gemma-7b-bn... Bitsandbytes En Endpoints compatible Gemma Instruct Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/animaRegem/gemma-7b-alpaca-instruct-malayalam-model-vllm-4bit

Gemma 7B Alpaca Instruct Malayalam Model Vllm 4bit Parameters and Internals

Model Type

text generation

Additional Notes

Uploaded model developed by animaRegem. Finetuned from unsloth/gemma-7b-bnb-4bit

Training Details

Methodology:

Trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Gemma 7B Alpaca Instruct Malayalam Model Vllm 4bit
Repository 🤗	https://huggingface.co/animaRegem/gemma-7b-alpaca-instruct-malayalam-model-vllm-4bit
Base Model(s)	Gemma 7B Bnb 4bit unsloth/gemma-7b-bnb-4bit
Model Size	7b
Required VRAM	5.6 GB
Updated	2026-07-02
Maintainer	animaRegem
Model Type	gemma
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 0.6 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	GemmaForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.40.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 7B Alpaca Instruct Malayalam Model Vllm 4bit 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

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Note: green Score (e.g. "73.2") means that the model is better than animaRegem/gemma-7b-alpaca-instruct-malayalam-model-vllm-4bit.