What are the hardware requirements for Vora X 8B?

Vora X 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 Vora X 8B and how large is it?

Vora X 8B is developed by theocolf, 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 Vora X 8B?

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

Vora X 8B by theocolf — VRAM 16.1GB, 8K context

Name: Vora X 8B
Author: theocolf

Vora X 8B is an open-source language model by theocolf. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, Merged, LLM Explorer Score: 0.26.

Merged Model Arxiv:2203.05482 Base model:enno-ai/ennoai-pro-... Base model:theocolf/vora-x-int... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/theocolf/Vora-X-8B

Vora X 8B Parameters and Internals

LLM Name	Vora X 8B
Repository 🤗	https://huggingface.co/theocolf/Vora-X-8B
Base Model(s)	Vora X Intermediaire Enno-Ai/EnnoAi-Pro-French-Llama-3-8B-v0.4 theocolf/vora-x-intermediaire Enno-Ai/EnnoAi-Pro-French-Llama-3-8B-v0.4
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-18
Maintainer	theocolf
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	5.12.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_250\|>
Vocabulary Size	128256

Rank the Vora X 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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