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Starling LM 7B Alpha by berkeley-nest

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  Arxiv:2306.02231   Autotrain compatible   Conversational   Dataset:berkeley-nest/nectar   En   Endpoints compatible   Mistral   Region:us   Reward model   Rlaif   Rlhf   Safetensors   Sharded   Tensorflow

Starling LM 7B Alpha Benchmarks

LMSys ELO: 1088 vs 1272 (so35)-14.5%
MMLU Pro: 24.13
GPQA: 6.26
MUSR: 9.5
BBH: 21.95
IFEval: 54.8 vs 88 (so35)-37.7%
ARC: 63.65 vs 96.7 (so35)-34.2%
HellaSwag: 84.87 vs 95.3 (gpt4)-10.9%
MMLU: 64.7 vs 88.3 (so35)-26.7%
TruthfulQA: 46.32 vs 59 (gpt4)-21.5%
WinoGrande: 80.43 vs 87.5 (gpt4)-8.1%
GSM8K: 62.32 vs 96.4 (so35)-35.4%
MATH Lvl 5: 7.18
LLME Score: 0.45095
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Starling LM 7B Alpha Parameters and Internals

LLM NameStarling LM 7B Alpha
Repository 🤗https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
Maintainerberkeley-nest
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token<|end_of_turn|>
Vocabulary Size32002
Torch Data Typebfloat16
Starling LM 7B Alpha (berkeley-nest/Starling-LM-7B-alpha)

Quantized Models of the Starling LM 7B Alpha

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VRAM
Starling LM 7B Alpha GGUF948623 GB
Starling LM 7B Alpha GGUF11572 GB
Starling LM 7B Alpha GGUF36242 GB
Starling LM 7B Alpha AWQ9584 GB
Starling LM 7B Alpha GPTQ9154 GB

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Rank the Starling LM 7B Alpha Capabilities

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Release v2024072803
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