What are the hardware requirements for Spydaz Web AI Reasoner BaseModel?

Spydaz Web AI Reasoner BaseModel requires approximately 14.4 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 Reasoner BaseModel and how large is it?

Spydaz Web AI Reasoner BaseModel is developed by LeroyDyer. 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 Reasoner BaseModel?

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

Spydaz Web AI Reasoner BaseModel by LeroyDyer — VRAM 14.4GB, 32K context

Name: Spydaz Web AI Reasoner BaseModel
Author: LeroyDyer

Spydaz Web AI Reasoner BaseModel is an open-source language model by LeroyDyer. Features: LLM, VRAM: 14.4GB, Context: 32K, LLM Explorer Score: 0.16.

Arxiv:2203.05482 Autotrain compatible Base model:leroydyer/ spydaz w... Base model:leroydyer/ spydaz w... Base model:leroydyer/lcars top... Base model:leroydyer/spydazweb... Base model:merge:leroydyer/ sp... Base model:merge:leroydyer/ sp... Base model:merge:leroydyer/lca... Base model:merge:leroydyer/spy... Conversational Endpoints compatible Merge Mergekit Mistral Region:us Safetensors Sharded Tensorflow

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

Spydaz Web AI Reasoner BaseModel Parameters and Internals

LLM Name	Spydaz Web AI Reasoner BaseModel
Repository 🤗	https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_Reasoner_BaseModel
Base Model(s)	SpydazWeb AI HumanAGI 002 LCARS TOP SCORE ...pydaz Web AI CheckPointsMerged ... AI ReasoningCheckPointsMerged LeroyDyer/SpydazWeb_AI_HumanAGI_002 LeroyDyer/LCARS_TOP_SCORE LeroyDyer/_Spydaz_Web_AI_CheckPointsMerged LeroyDyer/_Spydaz_Web_AI_ReasoningCheckPointsMerged
Required VRAM	14.4 GB
Updated	2025-02-14
Maintainer	LeroyDyer
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Spydaz Web AI Reasoner BaseModel 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 Reasoner BaseModel

Best Alternatives	Context / RAM	Downloads	Likes
Krutrim 2 Instruct	1000K / 49.3 GB	866	38
Ft V1 Violet	1000K / 24.5 GB	5	0
Tiny Random MistralForCausalLM	128K / 0 GB	154	1
Winterreise M7	32K / 14.4 GB	0	0
Frostwind V2.1 M7	32K / 14.4 GB	0	0
MistralLite	32K / 14.4 GB	91228	435
MistralLite	32K / 14.4 GB	61777	430
Mixtral AI Cyber Child	32K / 14.5 GB	14	1
Kheops Textbook Immo2	32K / 14.5 GB	11	0
Snorkel Mistral PairRM DPO	32K / 14.4 GB	76	108

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