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L2 7B Beluga WVG Test by LTC-AI-Labs

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L2 7B Beluga WVG Test is an open-source language model by LTC-AI-Labs. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, HF Score: 52, LLM Explorer Score: 0.13, Arc: 53.8, HellaSwag: 78.4, MMLU: 51.6, TruthfulQA: 45.8, WinoGrande: 74.9, GSM8K: 7.9.

  Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/LTC-AI-Labs/L2-7b-Beluga-WVG-Test 

L2 7B Beluga WVG Test Benchmarks

ARC: 53.75 vs 96.7 (so35)-44.4%
HellaSwag: 78.38 vs 95.3 (gpt4)-17.8%
MMLU: 51.57 vs 88.3 (so35)-41.6%
TruthfulQA: 45.76 vs 59 (gpt4)-22.4%
WinoGrande: 74.9 vs 87.5 (gpt4)-14.4%
GSM8K: 7.88 vs 96.4 (so35)-91.8%
LLME Score: 0.13407
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L2 7B Beluga WVG Test (LTC-AI-Labs/L2-7b-Beluga-WVG-Test)
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L2 7B Beluga WVG Test Parameters and Internals

LLM NameL2 7B Beluga WVG Test
Repository 🤗https://huggingface.co/LTC-AI-Labs/L2-7b-Beluga-WVG-Test 
Model Size7b
Required VRAM13.5 GB
Updated2026-03-31
MaintainerLTC-AI-Labs
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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

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