What are the hardware requirements for DroidSenior 7B?

DroidSenior 7B requires approximately 15.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DroidSenior 7B and how large is it?

DroidSenior 7B is developed by celebibasar, 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 DroidSenior 7B?

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

DroidSenior 7B by celebibasar — VRAM 15.2GB, 32K context

Name: DroidSenior 7B
Author: celebibasar

DroidSenior 7B is an open-source language model by celebibasar. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.32.

Android Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Code Codegen Coding-assistant Conversational Dataset:giggiovpg/android-kotl... Dataset:giggiovpg/ornith-andro... Dataset:glaiveai/glaive-code-a... Dataset:ise-uiuc/magicoder-oss... Dataset:jetbrains/kexercises Dataset:m-a-p/codefeedback-fil... Dataset:microsoft/nextcoderdat... Dataset:theblackcat102/evol-co... Dpo En Endpoints compatible Instruct Jetpack-compose Kotlin Lora Qwen2 Region:us Safetensors Sft Sharded Tensorflow Tr

Model Card on HF 🤗: https://huggingface.co/celebibasar/DroidSenior-7B

DroidSenior 7B Parameters and Internals

LLM Name	DroidSenior 7B
Repository 🤗	https://huggingface.co/celebibasar/DroidSenior-7B
Base Model(s)	Qwen/Qwen2.5-Coder-7B-Instruct Qwen/Qwen2.5-Coder-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-11-03
Maintainer	celebibasar
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 0.3 GB: 4-of-4
Supported Languages	en tr
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.22.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the DroidSenior 7B 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 DroidSenior 7B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Rebase	986K / 15.2 GB	73	2
Qwen2.5 7B Rebase	986K / 15.2 GB	33	2
StockQwen 2.5 7B	128K / 15.2 GB	69	6
DareQwen 2.5 7B	128K / 15.2 GB	11	1
Tessa T1 7B	117K / 15.2 GB	14	10
UIGEN T1.5 7B	117K / 15.2 GB	12	6
Qwen2.5 Coder 7B Instruct	32K / 15.2 GB	2019400	765
VeriLadder QwenCoder 7B	32K / 15.2 GB	947	1
FinoCode 7B	32K / 15.2 GB	125	0
AERA Coder Hybrid	32K / 15.4 GB	207	1

Note: green Score (e.g. "73.2") means that the model is better than celebibasar/DroidSenior-7B.