What are the hardware requirements for Spydaz Web AGI DeepThink ?

Spydaz Web AGI DeepThink requires approximately 14.4 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 Spydaz Web AGI DeepThink and how large is it?

Spydaz Web AGI DeepThink 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 AGI DeepThink ?

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

Spydaz Web AGI DeepThink by LeroyDyer — VRAM 14.4GB, 128K context

Name: Spydaz Web AGI DeepThink
Author: LeroyDyer

Spydaz Web AGI DeepThink is an open-source language model by LeroyDyer. Features: 7.2b LLM, VRAM: 14.4GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.18.

Conversational En Endpoints compatible Gguf Mistral Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

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

Spydaz Web AGI DeepThink Parameters and Internals

LLM Name	Spydaz Web AGI DeepThink
Repository 🤗	https://huggingface.co/LeroyDyer/_Spydaz_Web_AGI_DeepThink_
Base Model(s)	LeroyDyer/_Spydaz_Web_AI_SpydazWarez_001 LeroyDyer/_Spydaz_Web_AI_SpydazWarez_001
Model Size	7.2b
Required VRAM	14.4 GB
Updated	2026-05-26
Maintainer	LeroyDyer
Model Type	mistral
Model Files	4.4 GB 4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.3
Tokenizer Class	LlamaTokenizerFast
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Spydaz Web AGI DeepThink capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Spydaz Web AGI DeepThink

Best Alternatives	Context / RAM	Downloads	Likes
...daz Web AI Pre Train Align 004	128K / 14.4 GB	28	0
Zion Alpha	32K / 14.4 GB	57	4
LCARS AI 001	32K / 14.4 GB	14	4
Mixtral Quantized	32K / 14.4 GB	6	0
Mayonnaise 4in1 02	32K / 14.4 GB	105	0
Zsql En Postgres	32K / 14.4 GB	64	5
MHENNlitv3	32K / 28.9 GB	12	0
MHENNlitv2	32K / 28.9 GB	17	0
MHENNcodemathv2	32K / 28.9 GB	10	0
MHENNcodemath	32K / 28.9 GB	17	0

Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/_Spydaz_Web_AGI_DeepThink_.