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Stablelm Tuned Alpha 7B by stabilityai

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Stablelm Tuned Alpha 7B Benchmarks

LMSys ELO: 840 vs 1272 (so35)-34%
ARC: 31.91 vs 96.7 (so35)-67%
HellaSwag: 53.59 vs 95.3 (gpt4)-43.8%
MMLU: 24.41 vs 88.3 (so35)-72.4%
TruthfulQA: 40.37 vs 59 (gpt4)-31.6%
WinoGrande: 53.12 vs 87.5 (gpt4)-39.3%
GSM8K: 0.83 vs 96.4 (so35)-99.1%
LLME Score: 0.20434
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Stablelm Tuned Alpha 7B Parameters and Internals

LLM NameStablelm Tuned Alpha 7B
Repository 🤗https://huggingface.co/stabilityai/stablelm-tuned-alpha-7b 
Model Size7b
Required VRAM31.9 GB
Updated2024-10-18
Maintainerstabilityai
Model Typegpt_neox
Model Files  9.8 GB: 1-of-4   9.8 GB: 2-of-4   9.8 GB: 3-of-4   2.5 GB: 4-of-4
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licensecc-by-nc-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat32
Stablelm Tuned Alpha 7B (stabilityai/stablelm-tuned-alpha-7b)

Quantized Models of the Stablelm Tuned Alpha 7B

Model
Likes
Downloads
VRAM
Stablelm Tuned Alpha 7B 16bit5616 GB

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Note: green Score (e.g. "73.2") means that the model is better than stabilityai/stablelm-tuned-alpha-7b.

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Release v2024072803
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