What are the hardware requirements for 0.4B Mixturevitae V1 Decontaminated 300B 4096?

0.4B Mixturevitae V1 Decontaminated 300B 4096 requires approximately 0.8 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed 0.4B Mixturevitae V1 Decontaminated 300B 4096 and how large is it?

0.4B Mixturevitae V1 Decontaminated 300B 4096 is developed by ali-elganzory, a model with 300b 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 0.4B Mixturevitae V1 Decontaminated 300B 4096?

0.4B Mixturevitae V1 Decontaminated 300B 4096 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

0.4B Mixturevitae V1 Decontaminated 300B 4096 by ali-elganzory — VRAM 0.8GB, 4K context

Name: 0.4B Mixturevitae V1 Decontaminated 300B 4096
Author: ali-elganzory

0.4B Mixturevitae V1 Decontaminated 300B 4096 is an open-source language model by ali-elganzory. Features: 300b LLM, VRAM: 0.8GB, Context: 4K, LLM Explorer Score: 0.23.

Arxiv:1910.09700 Conversational Custom code Endpoints compatible Opensci Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ali-elganzory/0.4b-mixturevitae-v1-decontaminated-300B-4096

0.4B Mixturevitae V1 Decontaminated 300B 4096 Parameters and Internals

LLM Name	0.4B Mixturevitae V1 Decontaminated 300B 4096
Repository 🤗	https://huggingface.co/ali-elganzory/0.4b-mixturevitae-v1-decontaminated-300B-4096
Model Size	300b
Required VRAM	0.8 GB
Updated	2026-07-23
Maintainer	ali-elganzory
Model Type	opensci
Model Files	0.8 GB
Model Architecture	OpenSciForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	5.1.0
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50304

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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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