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Opus Samantha Llama 3 8B by macadeliccc

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  Autotrain compatible Dataset:macadeliccc/opus saman...   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Opus Samantha Llama 3 8B Benchmarks

ARC: 62.63-35%
HellaSwag: 82.58-13.3%
MMLU: 64.09-25.9%
TruthfulQA: 53.53-9.3%
WinoGrande: 71.67-18.1%
GSM8K: 20.62-77.6%
nn.n% — How the model compares to the GPT-4.

Opus Samantha Llama 3 8B Parameters and Internals

LLM NameOpus Samantha Llama 3 8B
RepositoryOpen on 🤗 
Model Size8b
Required VRAM16.1 GB
Updated2024-07-27
Maintainermacadeliccc
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
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16
Opus Samantha Llama 3 8B (macadeliccc/Opus-Samantha-Llama-3-8B)

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Note: green Score (e.g. "73.2") means that the model is better than macadeliccc/Opus-Samantha-Llama-3-8B.

Rank the Opus Samantha Llama 3 8B Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501
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