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StarlingMaid 2x7B Base by dawn17

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StarlingMaid 2x7B Base Benchmarks

ARC: 67.15 vs 96.7 (so35)-30.6%
HellaSwag: 85 vs 95.3 (gpt4)-10.8%
MMLU: 65.36 vs 88.3 (so35)-26%
TruthfulQA: 57.98 vs 59 (gpt4)-1.7%
WinoGrande: 79.79 vs 87.5 (gpt4)-8.8%
GSM8K: 65.88 vs 96.4 (so35)-31.7%
LLME Score: 0.22248
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

StarlingMaid 2x7B Base Parameters and Internals

LLM NameStarlingMaid 2x7B Base
Repository 🤗https://huggingface.co/dawn17/StarlingMaid-2x7B-base 
Model Size12.9b
Required VRAM25.8 GB
Updated2024-09-07
Maintainerdawn17
Model Typemixtral
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   5.9 GB: 3-of-3
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32002
Torch Data Typebfloat16
StarlingMaid 2x7B Base (dawn17/StarlingMaid-2x7B-base)

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Note: green Score (e.g. "73.2") means that the model is better than dawn17/StarlingMaid-2x7B-base.

Rank the StarlingMaid 2x7B Base Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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