What are the hardware requirements for Llama 3 SNAMD 8B?

Llama 3 SNAMD 8B requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 SNAMD 8B and how large is it?

Llama 3 SNAMD 8B is developed by nbeerbower, 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 Llama 3 SNAMD 8B?

Llama 3 SNAMD 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 SNAMD 8B by nbeerbower — VRAM 16.1GB, 8K context

Name: Llama 3 SNAMD 8B
Author: nbeerbower

Llama 3 SNAMD 8B is an open-source language model by nbeerbower. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, Merged, LLM Explorer Score: 0.13.

Merged Model Arxiv:2403.19522 Base model:mlabonne/neuraldare... Base model:nbeerbower/llama-3-... Base model:nbeerbower/llama-3-... Base model:nbeerbower/llama-3-... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nbeerbower/llama-3-SNAMD-8B

Llama 3 SNAMD 8B Parameters and Internals

LLM Name	Llama 3 SNAMD 8B
Repository 🤗	https://huggingface.co/nbeerbower/llama-3-SNAMD-8B
Base Model(s)	... 3 Spicy Abliterated Stella 8B NeuralDaredevil 8B Abliterated Llama 3 Stheno Mahou 8B Llama 3 Daredevil Mahou 8B nbeerbower/llama-3-spicy-abliterated-stella-8B mlabonne/NeuralDaredevil-8B-abliterated nbeerbower/llama-3-Stheno-Mahou-8B nbeerbower/llama-3-Daredevil-Mahou-8B
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-04-12
Maintainer	nbeerbower
Model Type	llama
Model Files	10.0 GB: 1-of-2 6.1 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.37.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 SNAMD 8B 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

Best Alternatives to Llama 3 SNAMD 8B

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/llama-3-SNAMD-8B.