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LLaMA 2 Vicuna 7B Slerp by laislemke

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  Merged Model   Autotrain compatible Base model:lmsys/vicuna-7b-v1.... Base model:togethercomputer/ll...   Endpoints compatible   Llama   Lmsys/vicuna-7b-v1.5   Region:us   Safetensors   Sharded   Tensorflow Togethercomputer/llama-2-7b-32...
Model Card on HF 🤗: https://huggingface.co/laislemke/LLaMA-2-vicuna-7b-slerp 

LLaMA 2 Vicuna 7B Slerp Benchmarks

MMLU Pro: 3.8
GPQA: 3.13
MUSR: 6.18
BBH: 2.6
IFEval: 29.32 vs 88 (so35)-66.7%
MATH Lvl 5: 1.13
LLME Score: 0.20703
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaMA 2 Vicuna 7B Slerp (laislemke/LLaMA-2-vicuna-7b-slerp)

LLaMA 2 Vicuna 7B Slerp Parameters and Internals

Model Type 
merge
Additional Notes 
The model is a merge of two base models using LazyMergekit with specific configuration setting for layers and parameters.
LLM NameLLaMA 2 Vicuna 7B Slerp
Repository 🤗https://huggingface.co/laislemke/LLaMA-2-vicuna-7b-slerp 
Base Model(s)  LLaMA 2 7B 32K   lmsys/vicuna-7b-v1.5   togethercomputer/LLaMA-2-7B-32K   lmsys/vicuna-7b-v1.5
Merged ModelYes
Model Size7b
Required VRAM13.6 GB
Updated2025-04-05
Maintainerlaislemke
Model Typellama
Model Files  0.9 GB: 1-of-14   1.0 GB: 2-of-14   1.0 GB: 3-of-14   1.0 GB: 4-of-14   1.0 GB: 5-of-14   0.9 GB: 6-of-14   1.0 GB: 7-of-14   1.0 GB: 8-of-14   1.0 GB: 9-of-14   1.0 GB: 10-of-14   0.9 GB: 11-of-14   1.0 GB: 12-of-14   1.0 GB: 13-of-14   0.9 GB: 14-of-14
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length32768
Model Max Length32768
Transformers Version4.42.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than laislemke/LLaMA-2-vicuna-7b-slerp.

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Release v20241227
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