What are the hardware requirements for Spydaz Web AI 026 4bit?

Spydaz Web AI 026 4bit requires approximately 4.2 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 026 4bit and how large is it?

Spydaz Web AI 026 4bit is developed by LeroyDyer, a model with 3.9b 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 026 4bit?

Spydaz Web AI 026 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Spydaz Web AI 026 4bit by LeroyDyer — VRAM 4.2GB, 32K context

Name: Spydaz Web AI 026 4bit
Author: LeroyDyer

Spydaz Web AI 026 4bit is an open-source language model by LeroyDyer. Features: 3.9b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

4-bit 4bit Autotrain compatible Base model:leroydyer/ spydaz w... Base model:quantized:leroydyer... Bitsandbytes Custom code En Endpoints compatible Mistral Quantized Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_026_4bit

Spydaz Web AI 026 4bit Parameters and Internals

LLM Name	Spydaz Web AI 026 4bit
Repository 🤗	https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_026_4bit
Base Model(s)	Spydaz Web AI 025 LeroyDyer/_Spydaz_Web_AI_025
Model Size	3.9b
Required VRAM	4.2 GB
Updated	2024-08-02
Maintainer	LeroyDyer
Model Type	mistral
Model Files	4.2 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32002
Torch Data Type	bfloat16

Rank the Spydaz Web AI 026 4bit 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

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...3 Mini 4K Instruct V0 Bnb 4bit	4K / 2.3 GB	13	3
Phi 4K Gsm8k	4K / 2.3 GB	10	0
Phi 3 Autocomplete Search	4K / 2.3 GB	5	0
Small Mistral 1	4K / 2.3 GB	5	0
Hf	4K / 2.3 GB	12	0
MediChat Medium	4K / 2.3 GB	6	1
Recophi3 4bit	4K / 2.3 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/_Spydaz_Web_AI_026_4bit.