What are the hardware requirements for AV BI Qwen2.5 7B PT BR Instruct?

AV BI Qwen2.5 7B PT BR Instruct requires approximately 15.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed AV BI Qwen2.5 7B PT BR Instruct and how large is it?

AV BI Qwen2.5 7B PT BR Instruct is developed by amadeusai, 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 AV BI Qwen2.5 7B PT BR Instruct?

AV BI Qwen2.5 7B PT BR Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AV BI Qwen2.5 7B PT BR Instruct by amadeusai — VRAM 15.2GB, 128K context

Name: AV BI Qwen2.5 7B PT BR Instruct
Author: amadeusai

AV BI Qwen2.5 7B PT BR Instruct is an open-source language model by amadeusai. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.

Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b Conversational Endpoints compatible Instruct Pt Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/amadeusai/AV-BI-Qwen2.5-7B-PT-BR-Instruct

AV BI Qwen2.5 7B PT BR Instruct Parameters and Internals

LLM Name	AV BI Qwen2.5 7B PT BR Instruct
Repository 🤗	https://huggingface.co/amadeusai/AV-BI-Qwen2.5-7B-PT-BR-Instruct
Base Model(s)	Qwen/Qwen2.5-7B Qwen/Qwen2.5-7B
Model Size	7b
Required VRAM	15.2 GB
Updated	2025-05-19
Maintainer	amadeusai
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.3 GB: 3-of-4 1.1 GB: 4-of-4 30.5 GB 0.0 GB
Supported Languages	pt
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the AV BI Qwen2.5 7B PT BR Instruct capabilities

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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 AV BI Qwen2.5 7B PT BR Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Apollo 7B	986K / 15.2 GB	8	0
Graph R1 7B	986K / 15.3 GB	7	3
Qwen2.5 7B Sky R1 Mini	986K / 15.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than amadeusai/AV-BI-Qwen2.5-7B-PT-BR-Instruct.