What are the hardware requirements for Nature Reason 1.2 Reallysmall?

Nature Reason 1.2 Reallysmall 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 Nature Reason 1.2 Reallysmall and how large is it?

Nature Reason 1.2 Reallysmall is developed by GuilhermeNaturaUmana, a model with 7.6b 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 Nature Reason 1.2 Reallysmall?

Nature Reason 1.2 Reallysmall is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nature Reason 1.2 Reallysmall by GuilhermeNaturaUmana — VRAM 15.2GB, 128K context

Name: Nature Reason 1.2 Reallysmall
Author: GuilhermeNaturaUmana

Nature Reason 1.2 Reallysmall is an open-source language model by GuilhermeNaturaUmana. Features: 7.6b LLM, VRAM: 15.2GB, Context: 128K, LLM Explorer Score: 0.25.

Autotrain compatible Base model:brgx53/3blarenegv3-... Base model:finetune:brgx53/3bl... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall

Nature Reason 1.2 Reallysmall Parameters and Internals

LLM Name	Nature Reason 1.2 Reallysmall
Repository 🤗	https://huggingface.co/GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall
Base Model(s)	...Blarenegv3 ECE PRYMMAL Martial brgx53/3Blarenegv3-ECE-PRYMMAL-Martial
Model Size	7.6b
Required VRAM	15.2 GB
Updated	2025-03-05
Maintainer	GuilhermeNaturaUmana
Model Type	qwen2
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
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	float16
Errors	replace

Rank the Nature Reason 1.2 Reallysmall 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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Note: green Score (e.g. "73.2") means that the model is better than GuilhermeNaturaUmana/Nature-Reason-1.2-reallysmall.