What are the hardware requirements for NBeerbower Narrative 8B 64K?

NBeerbower Narrative 8B 64K requires approximately 16.1 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NBeerbower Narrative 8B 64K and how large is it?

NBeerbower Narrative 8B 64K is developed by MrRobotoAI, 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 NBeerbower Narrative 8B 64K?

NBeerbower Narrative 8B 64K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NBeerbower Narrative 8B 64K by MrRobotoAI — VRAM 16.1GB, 1024K context

Name: NBeerbower Narrative 8B 64K
Author: MrRobotoAI

NBeerbower Narrative 8B 64K is an open-source language model by MrRobotoAI. Features: 8b LLM, VRAM: 16.1GB, Context: 1024K, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2403.19522 Autotrain compatible Base model:nbeerbower/llama-3-... Base model:nbeerbower/llama-3-... Base model:nbeerbower/llama-3-... Base model:nbeerbower/llama-3-... Base model:nbeerbower/llama-3-... Base model:nbeerbower/llama-3-... Base model:nbeerbower/llama-3-... Base model:nbeerbower/llama-3-... Base model:nbeerbower/llama-3-... Base model:nbeerbower/llama-3-... Base model:nbeerbower/llama-3-... Base model:nbeerbower/llama-3-... Base model:nbeerbower/llama3-k... Base model:nbeerbower/llama3.1... Base model:nbeerbower/llama3.1... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MrRobotoAI/NBeerbower-Narrative-8b-64k

NBeerbower Narrative 8B 64K Parameters and Internals

LLM Name	NBeerbower Narrative 8B 64K
Repository 🤗	https://huggingface.co/MrRobotoAI/NBeerbower-Narrative-8b-64k
Base Model(s)	Llama 3 Stella 8B Llama 3 Dragonmaid 8B Llama 3 Sauce V1 8B nbeerbower/llama3.1-cc-8B nbeerbower/Llama3.1-Allades-8B Llama 3 Sauce V2 8B Llama 3 Gutenberg 8B ... 3 Spicy Abliterated Stella 8B Llama3 KawaiiMahouSauce 8B Llama 3 Spicy 8B Llama 3 Stinky V2 8B Llama 3 Stheno Mahou 8B Llama 3 Dragonmaid 8B V2 Llama 3 SNAMD 8B Llama 3 Stinky 8B nbeerbower/llama-3-stella-8B nbeerbower/llama-3-dragonmaid-8B nbeerbower/llama-3-sauce-v1-8B nbeerbower/llama3.1-cc-8B nbeerbower/Llama3.1-Allades-8B nbeerbower/llama-3-sauce-v2-8B nbeerbower/llama-3-gutenberg-8B nbeerbower/llama-3-spicy-abliterated-stella-8B nbeerbower/llama3-KawaiiMahouSauce-8B nbeerbower/llama-3-spicy-8B nbeerbower/llama-3-stinky-v2-8B nbeerbower/llama-3-Stheno-Mahou-8B nbeerbower/llama-3-dragonmaid-8B-v2 nbeerbower/llama-3-SNAMD-8B nbeerbower/llama-3-stinky-8B
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2025-02-20
Maintainer	MrRobotoAI
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	1048576
Model Max Length	1048576
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the NBeerbower Narrative 8B 64K 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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Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
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...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
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Note: green Score (e.g. "73.2") means that the model is better than MrRobotoAI/NBeerbower-Narrative-8b-64k.