What are the hardware requirements for Spydaz Web AI MistralStar 001 Project?

Spydaz Web AI MistralStar 001 Project requires approximately 14.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Spydaz Web AI MistralStar 001 Project and how large is it?

Spydaz Web AI MistralStar 001 Project is developed by LeroyDyer, a model with 7.3b 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 MistralStar 001 Project?

Spydaz Web AI MistralStar 001 Project is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Spydaz Web AI MistralStar 001 Project by LeroyDyer — VRAM 14.5GB

Name: Spydaz Web AI MistralStar 001 Project
Author: LeroyDyer

Spydaz Web AI MistralStar 001 Project is an open-source language model by LeroyDyer. Features: 7.3b LLM, VRAM: 14.5GB, License: mit, LLM Explorer Score: 0.13.

Model Card on HF 🤗: https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_MistralStar_001_Project

Spydaz Web AI MistralStar 001 Project Parameters and Internals

Model Type

text-generation-inference

Use Cases

Areas:

chemistry, biology, legal, code, climate, medical

Primary Use Cases:

text-generation, Question-Answer, Token-Classification, Sequence-Classification

Limitations:

Uncensored and will not refuse to give information

Additional Notes

A friendly interface with a personality that can be caring and flirtatious at times; non-binary.

Supported Languages

en (English), sw (Swahili), ig (Igbo), zu (Zulu), ca (Catalan), es (Spanish), pt (Portuguese), ha (Hausa)

Training Details

Data Sources:

huggingface hub, kaggle

Methodology:

Chain of thoughts, step by step planning, tree of thoughts, forest of thoughts, graph of thoughts, agent generation

Context Length:

32000

Input Output

Accepted Modalities:

text

Performance Tips:

The model can be improved with "thought tokens".

LLM Name	Spydaz Web AI MistralStar 001 Project
Repository 🤗	https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_MistralStar_001_Project
Model Size	7.3b
Required VRAM	14.5 GB
Updated	2026-07-17
Maintainer	LeroyDyer
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.6 GB: 3-of-3
Supported Languages	en sw ig zu ca es pt ha
Model Architecture	AutoModelForCausalLM
License	mit
Model Max Length	32768
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32768

Rank the Spydaz Web AI MistralStar 001 Project 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 AI MistralStar 001 Project

Best Alternatives	Context / RAM	Downloads	Likes
Spydaz Web AI MistralStar V2	0K / 14.5 GB	17	1

Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/_Spydaz_Web_AI_MistralStar_001_Project.