What are the hardware requirements for AERA Coder Hybrid?

AERA Coder Hybrid requires approximately 15.4 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 AERA Coder Hybrid and how large is it?

AERA Coder Hybrid is developed by Brite19, 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 AERA Coder Hybrid?

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

AERA Coder Hybrid by Brite19 — VRAM 15.4GB, 32K context

Name: AERA Coder Hybrid
Author: Brite19

AERA Coder Hybrid is an open-source language model by Brite19. Features: 7b LLM, VRAM: 15.4GB, Context: 32K, Instruction-Based, Code Generating, Merged, LLM Explorer Score: 0.31.

Merged Model Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Codegen Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Brite19/AERA-Coder-Hybrid

AERA Coder Hybrid Parameters and Internals

LLM Name	AERA Coder Hybrid
Repository 🤗	https://huggingface.co/Brite19/AERA-Coder-Hybrid
Base Model(s)	Qwen/Qwen2.5-Coder-7B-Instruct Qwen/Qwen2.5-Coder-7B-Instruct
Merged Model	Yes
Model Size	7b
Required VRAM	15.4 GB
Updated	2026-10-11
Maintainer	Brite19
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.1 GB: 1-of-9 2.0 GB: 2-of-9 1.9 GB: 3-of-9 1.9 GB: 4-of-9 1.9 GB: 5-of-9 1.9 GB: 6-of-9 1.9 GB: 7-of-9 1.9 GB: 8-of-9 0.9 GB: 9-of-9
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.16.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the AERA Coder Hybrid 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 AERA Coder Hybrid

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Rebase	986K / 15.2 GB	73	2
Qwen2.5 7B Rebase	986K / 15.2 GB	25	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
...emanticwiki Coder 7B V2 Merged	32K / 15.2 GB	218	0
...Sft Reasoning Official Full Ft	32K / 15.2 GB	464	0
Vibe Coder 7B Max	32K / 15.3 GB	460	1

Note: green Score (e.g. "73.2") means that the model is better than Brite19/AERA-Coder-Hybrid.