What are the hardware requirements for Spydaz Web AI ReasoningCheckPointsMerged?

Spydaz Web AI ReasoningCheckPointsMerged 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 ReasoningCheckPointsMerged and how large is it?

Spydaz Web AI ReasoningCheckPointsMerged 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 ReasoningCheckPointsMerged?

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

Spydaz Web AI ReasoningCheckPointsMerged by LeroyDyer — VRAM 14.5GB, 32K context

Name: Spydaz Web AI ReasoningCheckPointsMerged
Author: LeroyDyer

Spydaz Web AI ReasoningCheckPointsMerged is an open-source language model by LeroyDyer. Features: 7.2b LLM, VRAM: 14.5GB, Context: 32K, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2306.01708 Autotrain compatible Base model:leroydyer/checkpoin... Base model:leroydyer/checkpoin... Base model:leroydyer/checkpoin... Base model:leroydyer/spydazweb... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

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

Spydaz Web AI ReasoningCheckPointsMerged Parameters and Internals

LLM Name	Spydaz Web AI ReasoningCheckPointsMerged
Repository 🤗	https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_ReasoningCheckPointsMerged
Base Model(s)	CheckPoint R1 LeroyDyer/CheckPoint_R2 LeroyDyer/CheckPoint_R4 SpydazWeb AI HumanAGI 002 LeroyDyer/CheckPoint_R1 LeroyDyer/CheckPoint_R2 LeroyDyer/CheckPoint_R4 LeroyDyer/SpydazWeb_AI_HumanAGI_002
Merged Model	Yes
Model Size	7.2b
Required VRAM	14.5 GB
Updated	2025-02-14
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	4.48.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Spydaz Web AI ReasoningCheckPointsMerged 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 ReasoningCheckPointsMerged

Best Alternatives	Context / RAM	Downloads	Likes
...Web AI HumanAI 012 INSTRUCT XA	512K / 14.4 GB	9	0
...Web AI HumanAI 012 INSTRUCT IA	512K / 14.4 GB	8	0
...Web AI HumanAI 011 INSTRUCT ML	512K / 14.4 GB	7	0
14	512K / 14.5 GB	319	0
SpydazWeb HumanAI M2	512K / GB	38	0
...dazWeb AI HumanAI 011 INSTRUCT	512K / 14.4 GB	14	1
SpydazWeb AI HumanAI 009 CHAT	512K / 14.4 GB	6	0
SpydazWeb AI HumanAI 007	512K / 14.4 GB	5	0
SpydazWebAI Human AGI 001	512K / 14.4 GB	6	1
...Web AI HumanAI 012 INSTRUCT MX	512K / 14.4 GB	8	0

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