What are the hardware requirements for AV BI Qwen2.5 32B PT BR Instruct?

AV BI Qwen2.5 32B PT BR Instruct requires approximately 65.8 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 32B PT BR Instruct and how large is it?

AV BI Qwen2.5 32B PT BR Instruct is developed by amadeusai, a model with 32b 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 32B PT BR Instruct?

AV BI Qwen2.5 32B 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 32B PT BR Instruct by amadeusai — VRAM 65.8GB, 128K context

Name: AV BI Qwen2.5 32B PT BR Instruct
Author: amadeusai

AV BI Qwen2.5 32B PT BR Instruct is an open-source language model by amadeusai. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.16.

Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b Chat Conversational Endpoints compatible Instruct Pt Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/amadeusai/AV-BI-Qwen2.5-32B-PT-BR-Instruct

AV BI Qwen2.5 32B PT BR Instruct Parameters and Internals

LLM Name	AV BI Qwen2.5 32B PT BR Instruct
Repository 🤗	https://huggingface.co/amadeusai/AV-BI-Qwen2.5-32B-PT-BR-Instruct
Base Model(s)	Qwen/Qwen2.5-32B Qwen/Qwen2.5-32B
Model Size	32b
Required VRAM	65.8 GB
Updated	2025-05-19
Maintainer	amadeusai
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 2.1 GB: 14-of-14 0.0 GB 0.0 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the AV BI Qwen2.5 32B PT BR Instruct capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
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Multi-Language Support and Translation

Best Alternatives to AV BI Qwen2.5 32B PT BR Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	45	17
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	64	4
Franqwenstein 35B	128K / 69.8 GB	5	8
ELYZA Thinking 1.0 Qwen 32B	128K / 65.8 GB	23	10
Archaeo 32B KTO	128K / 65.8 GB	17	4
Hamanasu Magnum QwQ 32B	128K / 65.8 GB	295	9
Qwen2.5 32B Gokgok Step3	128K / 65.7 GB	6	0
Openthaigpt R1 32B Instruct	128K / 65.8 GB	33	8
Qwen2.5 32B Dark Days Stage2	128K / 65.8 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than amadeusai/AV-BI-Qwen2.5-32B-PT-BR-Instruct.