What are the hardware requirements for Gemma 7B Bnb 4bit Lecture Summarizer Model?

Gemma 7B Bnb 4bit Lecture Summarizer Model requires approximately 17.1 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 Gemma 7B Bnb 4bit Lecture Summarizer Model and how large is it?

Gemma 7B Bnb 4bit Lecture Summarizer Model is developed by AshiqaSameem, 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 Gemma 7B Bnb 4bit Lecture Summarizer Model?

Gemma 7B Bnb 4bit Lecture Summarizer Model is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 7B Bnb 4bit Lecture Summarizer Model by AshiqaSameem — VRAM 17.1GB, 8K context

Name: Gemma 7B Bnb 4bit Lecture Summarizer Model
Author: AshiqaSameem

Gemma 7B Bnb 4bit Lecture Summarizer Model is an open-source language model by AshiqaSameem. Features: 7b LLM, VRAM: 17.1GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

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

Model Card on HF 🤗: https://huggingface.co/AshiqaSameem/gemma-7b-bnb-4bit_lecture_summarizer_model

Gemma 7B Bnb 4bit Lecture Summarizer Model Parameters and Internals

Model Type

text-generation-inference, transformers

Additional Notes

This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.

Training Details

Methodology:

Finetuned using Huggingface's TRL library

Training Time:

2x faster than usual

LLM Name	Gemma 7B Bnb 4bit Lecture Summarizer Model
Repository 🤗	https://huggingface.co/AshiqaSameem/gemma-7b-bnb-4bit_lecture_summarizer_model
Base Model(s)	Gemma 7B Bnb 4bit unsloth/gemma-7b-bnb-4bit
Model Size	7b
Required VRAM	17.1 GB
Updated	2026-09-10
Maintainer	AshiqaSameem
Model Type	gemma
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 2.1 GB: 4-of-4
Supported Languages	en
Quantization Type	4bit
Model Architecture	GemmaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 7B Bnb 4bit Lecture Summarizer Model 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 AshiqaSameem/gemma-7b-bnb-4bit_lecture_summarizer_model.