Smaug Slerp 30B V0.1 by liminerity

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  Merged Model   Abacusai/smaug-72b-v0.1   Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Smaug Slerp 30B V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Smaug Slerp 30B V0.1 Parameters and Internals

LLM NameSmaug Slerp 30B V0.1
Repository ๐Ÿค—https://huggingface.co/liminerity/Smaug-slerp-30b-v0.1 
Merged ModelYes
Model Size30b
Required VRAM60.4 GB
Updated2024-09-07
Maintainerliminerity
Model Typellama
Model Files  1.9 GB: 1-of-36   0.4 GB: 2-of-36   2.5 GB: 3-of-36   1.9 GB: 4-of-36   1.9 GB: 5-of-36   1.6 GB: 6-of-36   1.7 GB: 7-of-36   1.7 GB: 8-of-36   1.9 GB: 9-of-36   1.9 GB: 10-of-36   1.9 GB: 11-of-36   1.6 GB: 12-of-36   1.7 GB: 13-of-36   1.9 GB: 14-of-36   1.9 GB: 15-of-36   1.9 GB: 16-of-36   1.6 GB: 17-of-36   1.7 GB: 18-of-36   1.7 GB: 19-of-36   1.6 GB: 20-of-36   1.7 GB: 21-of-36   1.7 GB: 22-of-36   1.9 GB: 23-of-36   1.9 GB: 24-of-36   1.7 GB: 25-of-36   1.7 GB: 26-of-36   1.7 GB: 27-of-36   1.9 GB: 28-of-36   1.7 GB: 29-of-36   1.7 GB: 30-of-36   1.6 GB: 31-of-36   1.7 GB: 32-of-36   1.7 GB: 33-of-36   0.4 GB: 34-of-36   2.5 GB: 35-of-36   0.0 GB: 36-of-36
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size152064
Torch Data Typebfloat16
Smaug Slerp 30B V0.1 (liminerity/Smaug-slerp-30b-v0.1)

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Note: green Score (e.g. "73.2") means that the model is better than liminerity/Smaug-slerp-30b-v0.1.

Rank the Smaug Slerp 30B V0.1 Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803