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

BaeZel 8B Model Stock requires approximately 32.1 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 8B Model Stock and how large is it?

BaeZel 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 8B Model Stock?

BaeZel 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 8B Model Stock by DreadPoor — VRAM 32.1GB, 128K context

Name: BaeZel 8B Model Stock
Author: DreadPoor

BaeZel 8B Model Stock is an open-source language model by DreadPoor. Features: 8b LLM, VRAM: 32.1GB, Context: 128K, License: apache-2.0, Merged, LLM Explorer Score: 0.24.

Merged Model Arxiv:2403.19522 Autotrain compatible Base model:dreadpoor/heart sto... Base model:dreadpoor/lemonp-8b... Base model:joseph717171/llama-... Conversational Endpoints compatible Llama Model-index Region:us Safetensors Sharded Tensorflow

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

BaeZel 8B Model Stock Parameters and Internals

LLM Name	BaeZel 8B Model Stock
Repository 🤗	https://huggingface.co/DreadPoor/BaeZel-8B-Model_Stock
Base Model(s)	Heart Stolen 8B Model Stock LemonP 8B Model Stock Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base DreadPoor/Aspire_1.3-8B_model-stock DreadPoor/Heart_Stolen-8B-Model_Stock DreadPoor/LemonP-8B-Model_Stock Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base DreadPoor/Aspire_1.3-8B_model-stock
Merged Model	Yes
Model Size	8b
Required VRAM	32.1 GB
Updated	2025-01-20
Maintainer	DreadPoor
Model Type	llama
Model Files	5.0 GB: 1-of-7 4.9 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 4.8 GB: 5-of-7 5.0 GB: 6-of-7 2.4 GB: 7-of-7
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float32

Rank the BaeZel 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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