What are the hardware requirements for Model?

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 Model and how large is it?

Model is developed by taradepan, 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 Model?

Model is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Model by taradepan — VRAM 17.1GB, 8K context

Name: Model
Author: taradepan

Model is an open-source language model by taradepan. Features: 7b LLM, VRAM: 17.1GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.14.

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

Model Card on HF 🤗: https://huggingface.co/taradepan/model

Model Benchmarks

LLME Score: 0.13712

^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)

🌟 Advertise your project 🚀

Model Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, gemma, trl, sft

Additional Notes

The model was finetuned from unsloth/gemma-7b-bnb-4bit

Training Details

Methodology:

Unsuloth and Huggingface's TRL library were used to train the model 2x faster.

LLM Name	Model
Repository 🤗	https://huggingface.co/taradepan/model
Base Model(s)	Gemma 7B Bnb 4bit unsloth/gemma-7b-bnb-4bit
Model Size	7b
Required VRAM	17.1 GB
Updated	2025-10-02
Maintainer	taradepan
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	4.41.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

Best Alternatives to Model

Best Alternatives	Context / RAM	Downloads	Likes
...t Cleaner Gemma 32k Merged 16b	31K / 17.1 GB	5	0
...ruct Malayalam Model Vllm 4bit	16K / 5.6 GB	7	0
Gemma 1.1 7B It 4bit	8K / 5.9 GB	186	4
Gemma 1.1 7B It 4bit	8K / 5.9 GB	3	1
Gemma 7B 8bit	8K / 9.4 GB	15	1
... Codegemma 2 7B It Alpaca V1.2	8K / 17.1 GB	16	0
Codegemma 7B It 8bit	8K / 9.5 GB	170	5
Fbt Gemma 7B	8K / 17.1 GB	5	0
Codegemma 7B 4bit	8K / 5.9 GB	43	1
Codegemma 7B It 4bit	8K / 5.9 GB	28	1

Note: green Score (e.g. "73.2") means that the model is better than taradepan/model.

Rank the Model 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

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

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

Model by taradepan

» All LLMs » taradepan » Model URL Share it on

Model Benchmarks

Model Parameters and Internals

Best Alternatives to Model

Rank the Model Capabilities

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