What are the hardware requirements for L2 7B Synthia WVG Test?

L2 7B Synthia WVG Test requires approximately 13.5 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed L2 7B Synthia WVG Test and how large is it?

L2 7B Synthia WVG Test is developed by LTC-AI-Labs, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does L2 7B Synthia WVG Test perform on standard benchmarks?

L2 7B Synthia WVG Test has the following published scores: MMLU 49.48. Compare against reference models on this page or on the LLM Explorer leaderboards.

L2 7B Synthia WVG Test by LTC-AI-Labs — VRAM 13.5GB, 2K context

Name: L2 7B Synthia WVG Test
Author: LTC-AI-Labs

L2 7B Synthia WVG Test is an open-source language model by LTC-AI-Labs. Features: 7b LLM, VRAM: 13.5GB, Context: 2K, LLM Explorer Score: 0.12, Arc: 56, HellaSwag: 77.9, MMLU: 49.5, GSM8K: 5.9.

Endpoints compatible Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/LTC-AI-Labs/L2-7b-Synthia-WVG-Test

L2 7B Synthia WVG Test Parameters and Internals

LLM Name	L2 7B Synthia WVG Test
Repository 🤗	https://huggingface.co/LTC-AI-Labs/L2-7b-Synthia-WVG-Test
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-07
Maintainer	LTC-AI-Labs
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the L2 7B Synthia WVG Test capabilities

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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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Note: green Score (e.g. "73.2") means that the model is better than LTC-AI-Labs/L2-7b-Synthia-WVG-Test.