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

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

Nwah 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 Nwah 8B Model Stock?

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

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

Name: Nwah 8B Model Stock
Author: DreadPoor

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

Merged Model Arxiv:2403.19522 Autotrain compatible Base model:boltmonkey/dreadmix Base model:dreadpoor/baezel-8b... Base model:dreadpoor/decayed-8... Base model:dreadpoor/yafune-8b... Base model:fuseai/fusechat-lla... Base model:resplendentai/nowar... Base model:sentientagi/dobby-m... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

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

Nwah 8B Model Stock Parameters and Internals

LLM Name	Nwah 8B Model Stock
Repository 🤗	https://huggingface.co/DreadPoor/Nwah-8B-Model_Stock
Base Model(s)	BaeZel 8B LINEAR SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B Decayed 8B LINEAR Yafune 8B Model Stock FuseAI/FuseChat-Llama-3.1-8B-SFT NoWarning Llama3 DreadMix DreadPoor/BaeZel-8B-LINEAR SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B DreadPoor/Decayed-8B-LINEAR DreadPoor/Yafune-8B-Model_Stock FuseAI/FuseChat-Llama-3.1-8B-SFT ResplendentAI/NoWarning_Llama3 BoltMonkey/DreadMix
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2025-03-06
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	4.48.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Nwah 8B Model Stock capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

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