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

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  Autotrain compatible   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 Benchmarks

ARC: 55.97 vs 96.7 (so35)-42.1%
HellaSwag: 77.89 vs 95.3 (gpt4)-18.3%
MMLU: 49.48 vs 88.3 (so35)-44%
TruthfulQA: 44.11 vs 59 (gpt4)-25.2%
WinoGrande: 74.11 vs 87.5 (gpt4)-15.3%
GSM8K: 5.91 vs 96.4 (so35)-93.9%
LLME Score: 0.15053
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L2 7B Synthia WVG Test (LTC-AI-Labs/L2-7b-Synthia-WVG-Test)

L2 7B Synthia WVG Test Parameters and Internals

LLM NameL2 7B Synthia WVG Test
Repository 🤗https://huggingface.co/LTC-AI-Labs/L2-7b-Synthia-WVG-Test 
Model Size7b
Required VRAM13.5 GB
Updated2025-05-21
MaintainerLTC-AI-Labs
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
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-Synthia-WVG-Test.

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Release v20241227
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