What are the hardware requirements for V2?

V2 requires approximately 14.6 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed V2 and how large is it?

V2 is developed by AlexWortega, a model with 7.3b 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 V2?

V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

V2 by AlexWortega — VRAM 14.6GB, 32K context

Name: V2
Author: AlexWortega

V2 is an open-source language model by AlexWortega. Features: 7.3b LLM, VRAM: 14.6GB, Context: 32K, LLM Explorer Score: 0.11.

Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/AlexWortega/v2

V2 Parameters and Internals

LLM Name	V2
Repository 🤗	https://huggingface.co/AlexWortega/v2
Model Size	7.3b
Required VRAM	14.6 GB
Updated	2026-08-25
Maintainer	AlexWortega
Model Type	llama
Model Files	4.9 GB: 1-of-3 4.9 GB: 2-of-3 4.8 GB: 3-of-3
Model Architecture	LlamaForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	40000
Torch Data Type	bfloat16

Rank the V2 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

Best Alternatives to V2

Best Alternatives	Context / RAM	Downloads	Likes
A.X 3.1 Light	32K / 14.5 GB	1037	42

Note: green Score (e.g. "73.2") means that the model is better than AlexWortega/v2.