What are the hardware requirements for Spydaz Web AI AGI R1 Math AdvancedStudent?

Spydaz Web AI AGI R1 Math AdvancedStudent requires approximately 14.5 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 Spydaz Web AI AGI R1 Math AdvancedStudent and how large is it?

Spydaz Web AI AGI R1 Math AdvancedStudent is developed by LeroyDyer, a model with 7.2b 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 Spydaz Web AI AGI R1 Math AdvancedStudent?

Spydaz Web AI AGI R1 Math AdvancedStudent is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Spydaz Web AI AGI R1 Math AdvancedStudent by LeroyDyer — VRAM 14.5GB, 32K context

Name: Spydaz Web AI AGI R1 Math AdvancedStudent
Author: LeroyDyer

Spydaz Web AI AGI R1 Math AdvancedStudent is an open-source language model by LeroyDyer. Features: 7.2b LLM, VRAM: 14.5GB, Context: 32K, Merged, LLM Explorer Score: 0.24.

Merged Model Base model:finetune:leroydyer/... Base model:leroydyer/ spydaz w... Conversational Endpoints compatible Mistral Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent

Spydaz Web AI AGI R1 Math AdvancedStudent Parameters and Internals

LLM Name	Spydaz Web AI AGI R1 Math AdvancedStudent
Repository 🤗	https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_AGI_R1_Math_AdvancedStudent
Base Model(s)	Spydaz Web AI Mistral R1 Base LeroyDyer/_Spydaz_Web_AI_Mistral_R1_Base
Merged Model	Yes
Model Size	7.2b
Required VRAM	14.5 GB
Updated	2026-07-30
Maintainer	LeroyDyer
Model Type	mistral
Model Files	4.9 GB: 1-of-3 4.9 GB: 2-of-3 4.7 GB: 3-of-3
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.3
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

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