What are the hardware requirements for Llama Nexora Vector V0.1?

Llama Nexora Vector V0.1 requires approximately 2.5 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 Llama Nexora Vector V0.1 and how large is it?

Llama Nexora Vector V0.1 is developed by ArkAiLab-Adl, a model with 1b 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 Nexora Vector V0.1?

Llama Nexora Vector V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama Nexora Vector V0.1 by ArkAiLab-Adl — VRAM 2.5GB, 128K context

Name: Llama Nexora Vector V0.1
Author: ArkAiLab-Adl

Llama Nexora Vector V0.1 is an open-source language model by ArkAiLab-Adl. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.23.

Base model:finetune:unsloth/ll... Base model:unsloth/llama-3.2-1... Chat Conversational En Instruct Llama Llama-3 Llama-nexora Nexora Region:us Safetensors Vector

Model Card on HF 🤗: https://huggingface.co/ArkAiLab-Adl/llama-nexora-vector-v0.1

Llama Nexora Vector V0.1 Parameters and Internals

LLM Name	Llama Nexora Vector V0.1
Repository 🤗	https://huggingface.co/ArkAiLab-Adl/llama-nexora-vector-v0.1
Base Model(s)	unsloth/Llama-3.2-1B-Instruct unsloth/Llama-3.2-1B-Instruct
Model Size	1b
Required VRAM	2.5 GB
Updated	2026-09-05
Maintainer	ArkAiLab-Adl
Model Type	llama
Instruction-Based	Yes
Model Files	2.5 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama Nexora Vector V0.1 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 Llama Nexora Vector V0.1

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
LlaMa3.2 1B Instruct	128K / 4.9 GB	14	0
Llama3.2 1B CoT	128K / 2.5 GB	632	1
Llama 3.2 1B Instruct Bf16	128K / 2.5 GB	510	5
Llama 3.2 1B Instruct	128K / 2.5 GB	20	0
...Claude Opus Fable5 V2 Thinking	128K / 2.2 GB	288	4
Llama3.2 1B Manumit V1	128K / 2.5 GB	132	0
Llama 3.2 Mavrick.Spark 1B	128K / 2.5 GB	231	2

Note: green Score (e.g. "73.2") means that the model is better than ArkAiLab-Adl/llama-nexora-vector-v0.1.