What are the hardware requirements for Llama 3 SOVL MopeyMule Blackroot 8B?

Llama 3 SOVL MopeyMule Blackroot 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 SOVL MopeyMule Blackroot 8B and how large is it?

Llama 3 SOVL MopeyMule Blackroot 8B is developed by Cas-Warehouse, 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 SOVL MopeyMule Blackroot 8B?

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

Llama 3 SOVL MopeyMule Blackroot 8B by Cas-Warehouse — VRAM 16.1GB, 8K context

Name: Llama 3 SOVL MopeyMule Blackroot 8B
Author: Cas-Warehouse

Llama 3 SOVL MopeyMule Blackroot 8B is an open-source language model by Cas-Warehouse. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, Merged, LLM Explorer Score: 0.13.

Merged Model Arxiv:2212.04089 Base model:cas-warehouse/llama... Base model:cas-warehouse/llama... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B

Llama 3 SOVL MopeyMule Blackroot 8B Parameters and Internals

Additional Notes

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

Training Details

Methodology:

This model was merged using the task arithmetic merge method.

LLM Name	Llama 3 SOVL MopeyMule Blackroot 8B
Repository 🤗	https://huggingface.co/Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B
Base Model(s)	Casual-Autopsy/Llama-3-SOVL-MopeyMule-8B Casual-Autopsy/Llama-3-MopeyMule-Blackroot-8B Casual-Autopsy/Llama-3-SOVL-MopeyMule-8B Casual-Autopsy/Llama-3-MopeyMule-Blackroot-8B
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-09-18
Maintainer	Cas-Warehouse
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	8192
Model Max Length	8192
Transformers Version	4.41.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 SOVL MopeyMule Blackroot 8B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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...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 Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B.