What are the hardware requirements for BaeZel V3 8B Model Stock?

BaeZel V3 8B Model Stock requires approximately 16.1 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 BaeZel V3 8B Model Stock and how large is it?

BaeZel V3 8B Model Stock is developed by DreadPoor, a model with 8b 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 BaeZel V3 8B Model Stock?

BaeZel V3 8B Model Stock is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BaeZel V3 8B Model Stock by DreadPoor — VRAM 16.1GB, 128K context

Name: BaeZel V3 8B Model Stock
Author: DreadPoor

BaeZel V3 8B Model Stock is an open-source language model by DreadPoor. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, Merged, LLM Explorer Score: 0.25.

Merged Model Arxiv:2403.19522 Autotrain compatible Base model:dreadpoor/aspire-8b... Base model:dreadpoor/dragon v5... Base model:dreadpoor/heart sto... Base model:fuseai/fusechat-lla... Base model:t145/zeus-8b-v20 Conversational Endpoints compatible Llama Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DreadPoor/BaeZel_V3-8B-Model_Stock

BaeZel V3 8B Model Stock Parameters and Internals

LLM Name	BaeZel V3 8B Model Stock
Repository 🤗	https://huggingface.co/DreadPoor/BaeZel_V3-8B-Model_Stock
Base Model(s)	ZEUS 8B V20 Heart Stolen 8B Model Stock FuseAI/FuseChat-Llama-3.1-8B-SFT Aspire 8B Model Stock Dragon V5 8B Model Stock T145/ZEUS-8B-V20 DreadPoor/Heart_Stolen-8B-Model_Stock FuseAI/FuseChat-Llama-3.1-8B-SFT DreadPoor/Aspire-8B-model_stock DreadPoor/Dragon_V5-8B-Model_Stock
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2025-01-20
Maintainer	DreadPoor
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the BaeZel V3 8B Model Stock capabilities

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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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