What are the hardware requirements for Lexora Lite 3B V2?

Lexora Lite 3B V2 requires approximately 6.2 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 Lexora Lite 3B V2 and how large is it?

Lexora Lite 3B V2 is developed by DeepMount00, a model with 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 Lexora Lite 3B V2?

Lexora Lite 3B V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lexora Lite 3B V2 by DeepMount00 — VRAM 6.2GB, 32K context

Name: Lexora Lite 3B V2
Author: DeepMount00

Lexora Lite 3B V2 is an open-source language model by DeepMount00. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, Merged, LLM Explorer Score: 0.23.

Merged Model Conversational Dataset:deepmount00/sonnet-3.5... Dataset:deepmount00/sonnet-3.5... Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DeepMount00/Lexora-Lite-3B_v2

Lexora Lite 3B V2 Parameters and Internals

LLM Name	Lexora Lite 3B V2
Repository 🤗	https://huggingface.co/DeepMount00/Lexora-Lite-3B_v2
Merged Model	Yes
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-08-24
Maintainer	DeepMount00
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.44.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Lexora Lite 3B 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

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Note: green Score (e.g. "73.2") means that the model is better than DeepMount00/Lexora-Lite-3B_v2.