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UNA SimpleSmaug 34B V1beta by fblgit

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UNA SimpleSmaug 34B V1beta Benchmarks

MMLU Pro: 39.33
GPQA: 8.95
MUSR: 11.96
BBH: 32.78
IFEval: 45.56 vs 88 (so35)-48.2%
ARC: 74.57 vs 96.7 (so35)-22.9%
HellaSwag: 86.74 vs 95.3 (gpt4)-9%
MMLU: 76.68 vs 88.3 (so35)-13.2%
TruthfulQA: 70.17 vs 59 (gpt4)18.9%
WinoGrande: 83.82 vs 87.5 (gpt4)-4.2%
GSM8K: 72.48 vs 96.4 (so35)-24.8%
MATH Lvl 5: 0.15
LLME Score: 0.29722
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

UNA SimpleSmaug 34B V1beta Parameters and Internals

LLM NameUNA SimpleSmaug 34B V1beta
Repository 🤗https://huggingface.co/fblgit/UNA-SimpleSmaug-34b-v1beta 
Base Model(s)  abacusai/Smaug-34B-v0.1   abacusai/Smaug-34B-v0.1
Model Size34b
Required VRAM69.2 GB
Updated2024-10-08
Maintainerfblgit
Model Typellama
Model Files  4.8 GB: 1-of-15   4.8 GB: 2-of-15   5.0 GB: 3-of-15   4.8 GB: 4-of-15   4.8 GB: 5-of-15   5.0 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   5.0 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.8 GB: 13-of-15   4.8 GB: 14-of-15   1.2 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
UNA SimpleSmaug 34B V1beta (fblgit/UNA-SimpleSmaug-34b-v1beta)

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Note: green Score (e.g. "73.2") means that the model is better than fblgit/UNA-SimpleSmaug-34b-v1beta.

Rank the UNA SimpleSmaug 34B V1beta Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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