Llama 3.1 8B Base Instruct SLERP by vhab10

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  Merged Model   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Endpoints compatible   Instruct   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Llama 3.1 8B Base Instruct SLERP Benchmarks

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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Llama 3.1 8B Base Instruct SLERP Parameters and Internals

LLM NameLlama 3.1 8B Base Instruct SLERP
Repository ๐Ÿค—https://huggingface.co/vhab10/Llama-3.1-8B-Base-Instruct-SLERP 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B   meta-llama/Meta-Llama-3.1-8B
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-06-09
Maintainervhab10
Model Typellama
Instruction-BasedYes
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 Length131072
Model Max Length131072
Transformers Version4.44.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3.1 8B Base Instruct SLERP (vhab10/Llama-3.1-8B-Base-Instruct-SLERP)

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Note: green Score (e.g. "73.2") means that the model is better than vhab10/Llama-3.1-8B-Base-Instruct-SLERP.

Rank the Llama 3.1 8B Base Instruct SLERP Capabilities

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