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

Incidental 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 Incidental 8B Model Stock and how large is it?

Incidental 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 Incidental 8B Model Stock?

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

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

Name: Incidental 8B Model Stock
Author: DreadPoor

Incidental 8B Model Stock is an open-source language model by DreadPoor. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Merged, LLM Explorer Score: 0.24.

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

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

Incidental 8B Model Stock Parameters and Internals

LLM Name	Incidental 8B Model Stock
Repository 🤗	https://huggingface.co/DreadPoor/Incidental-8B-Model_Stock
Base Model(s)	FuseAI/FuseChat-Llama-3.1-8B-SFT Heart Stolen 8B Model Stock ONeil Model Stock 8B Dragon V5 8B Model Stock Aspire 8B Model Stock FuseAI/FuseChat-Llama-3.1-8B-SFT DreadPoor/Heart_Stolen-8B-Model_Stock DreadPoor/ONeil-model_stock-8B DreadPoor/Dragon_V5-8B-Model_Stock DreadPoor/Aspire-8B-model_stock
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2025-01-17
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
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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Text Generation
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Multi-Language Support and Translation

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