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Llama2 Init Mistral by Cartinoe5930

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  Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Cartinoe5930/Llama2_init_Mistral 

Llama2 Init Mistral Benchmarks

ARC: 60.07 vs 96.7 (so35)-37.9%
HellaSwag: 83.3 vs 95.3 (gpt4)-12.6%
MMLU: 64.09 vs 88.3 (so35)-27.4%
TruthfulQA: 42.15 vs 59 (gpt4)-28.6%
WinoGrande: 78.37 vs 87.5 (gpt4)-10.4%
GSM8K: 37.91 vs 96.4 (so35)-60.7%
LLME Score: 0.2037
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama2 Init Mistral Parameters and Internals

Additional Notes 
The base model uses Mistral-initialized weights and is based on the Llama2 architecture.
LLM NameLlama2 Init Mistral
Repository 🤗https://huggingface.co/Cartinoe5930/Llama2_init_Mistral 
Model Size7b
Required VRAM14.4 GB
Updated2024-12-02
MaintainerCartinoe5930
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Llama2 Init Mistral (Cartinoe5930/Llama2_init_Mistral)

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Note: green Score (e.g. "73.2") means that the model is better than Cartinoe5930/Llama2_init_Mistral.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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