What are the hardware requirements for BeaverAI Cydonia 24B V4x Lossytensors?

BeaverAI Cydonia 24B V4x Lossytensors requires approximately 46.9 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 BeaverAI Cydonia 24B V4x Lossytensors and how large is it?

BeaverAI Cydonia 24B V4x Lossytensors is developed by Gandalf69, a model with 24b 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 BeaverAI Cydonia 24B V4x Lossytensors?

BeaverAI Cydonia 24B V4x Lossytensors is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BeaverAI Cydonia 24B V4x Lossytensors by Gandalf69 — VRAM 46.9GB, 128K context

Name: BeaverAI Cydonia 24B V4x Lossytensors
Author: Gandalf69

BeaverAI Cydonia 24B V4x Lossytensors is an open-source language model by Gandalf69. Features: 24b LLM, VRAM: 46.9GB, Context: 128K, Quantized, LLM Explorer Score: 0.3.

Base model:beaverai/cydonia-24... Base model:finetune:beaverai/c... Conversational Endpoints compatible Gguf Mistral Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Gandalf69/BeaverAI_Cydonia-24B-v4x-lossytensors

BeaverAI Cydonia 24B V4x Lossytensors Parameters and Internals

LLM Name	BeaverAI Cydonia 24B V4x Lossytensors
Repository 🤗	https://huggingface.co/Gandalf69/BeaverAI_Cydonia-24B-v4x-lossytensors
Base Model(s)	BeaverAI/Cydonia-24B-v4x-GGUF BeaverAI/Cydonia-24B-v4x-GGUF
Model Size	24b
Required VRAM	46.9 GB
Updated	2026-10-20
Maintainer	Gandalf69
Model Type	mistral
Model Files	5.3 GB: 1-of-10 5.2 GB: 2-of-10 5.1 GB: 3-of-10 5.2 GB: 4-of-10 5.2 GB: 5-of-10 5.1 GB: 6-of-10 5.2 GB: 7-of-10 5.2 GB: 8-of-10 5.1 GB: 9-of-10 0.3 GB: 10-of-10
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.1
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072

Rank the BeaverAI Cydonia 24B V4x Lossytensors 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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Note: green Score (e.g. "73.2") means that the model is better than Gandalf69/BeaverAI_Cydonia-24B-v4x-lossytensors.