What are the hardware requirements for Qwen Metaphor Unke Camada 21 Zero Um?

Qwen Metaphor Unke Camada 21 Zero Um requires approximately 2.4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen Metaphor Unke Camada 21 Zero Um and how large is it?

Qwen Metaphor Unke Camada 21 Zero Um is developed by luisastellet, a model with 596m 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 Qwen Metaphor Unke Camada 21 Zero Um?

Qwen Metaphor Unke Camada 21 Zero Um is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen Metaphor Unke Camada 21 Zero Um by luisastellet — VRAM 2.4GB, 40K context

Name: Qwen Metaphor Unke Camada 21 Zero Um
Author: luisastellet

Qwen Metaphor Unke Camada 21 Zero Um is an open-source language model by luisastellet. Features: 596m LLM, VRAM: 2.4GB, Context: 40K, LLM Explorer Score: 0.28.

Arxiv:1910.09700 Conversational Endpoints compatible Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/luisastellet/qwen-metaphor-unke-camada-21-zero-um

Qwen Metaphor Unke Camada 21 Zero Um Parameters and Internals

LLM Name	Qwen Metaphor Unke Camada 21 Zero Um
Repository 🤗	https://huggingface.co/luisastellet/qwen-metaphor-unke-camada-21-zero-um
Model Size	596m
Required VRAM	2.4 GB
Updated	2026-10-25
Maintainer	luisastellet
Model Type	qwen3
Model Files	2.4 GB
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	5.16.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen Metaphor Unke Camada 21 Zero Um 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

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