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Japanese Stablelm Base Gamma 7B by stabilityai

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  Arxiv:2310.06825   Autotrain compatible   Dataset:cc100 Dataset:cerebras/slimpajama-62...   Dataset:mc4 Dataset:oscar-corpus/oscar-220... Dataset:oscar-corpus/oscar-230...   Dataset:wikipedia   Endpoints compatible   Ja   Japanese-stablelm   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Japanese Stablelm Base Gamma 7B Benchmarks

ARC: 50.34 vs 96.7 (so35)-47.9%
HellaSwag: 77.47 vs 95.3 (gpt4)-18.7%
MMLU: 54.75 vs 88.3 (so35)-38%
TruthfulQA: 41.2 vs 59 (gpt4)-30.2%
WinoGrande: 73.95 vs 87.5 (gpt4)-15.5%
GSM8K: 17.82 vs 96.4 (so35)-81.5%
LLME Score: 0.24563
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Japanese Stablelm Base Gamma 7B Parameters and Internals

LLM NameJapanese Stablelm Base Gamma 7B
Repository 🤗https://huggingface.co/stabilityai/japanese-stablelm-base-gamma-7b 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-16
Maintainerstabilityai
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesja
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Japanese Stablelm Base Gamma 7B (stabilityai/japanese-stablelm-base-gamma-7b)

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

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Release v2024072803
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