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Llama3s Merged Linear by uygarkurt

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/uygarkurt/llama3s-merged-linear 

Llama3s Merged Linear Benchmarks

ARC: 72.53 vs 96.7 (so35)-25%
HellaSwag: 87.98 vs 95.3 (gpt4)-7.7%
MMLU: 68.19 vs 88.3 (so35)-22.8%
TruthfulQA: 65.01 vs 59 (gpt4)10.2%
WinoGrande: 79.56 vs 87.5 (gpt4)-9.1%
GSM8K: 68.69 vs 96.4 (so35)-28.7%
LLME Score: 0.19422
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3s Merged Linear (uygarkurt/llama3s-merged-linear)

Llama3s Merged Linear Parameters and Internals

Additional Notes 
The model combines the top 3 models from the open LLM leaderboard under the name 'llama-3', enhancing performance without further training by using mergekit.
LLM NameLlama3s Merged Linear
Repository 🤗https://huggingface.co/uygarkurt/llama3s-merged-linear 
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintaineruygarkurt
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than uygarkurt/llama3s-merged-linear.

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Release v20241227
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