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Open Calm 7B 8bit by kyo-takano

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  8-bit   8bit   Autotrain compatible   Gpt neox   Ja   Japanese   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/kyo-takano/open-calm-7b-8bit 

Open Calm 7B 8bit Benchmarks

LLME Score: 0.0904
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Open Calm 7B 8bit (kyo-takano/open-calm-7b-8bit)
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Open Calm 7B 8bit Parameters and Internals

Model Type 
Transformer-based Language Model, causal-lm
Additional Notes 
8-bit version quantized by Kyo Takano.
Supported Languages 
ja (High)
LLM NameOpen Calm 7B 8bit
Repository 🤗https://huggingface.co/kyo-takano/open-calm-7b-8bit 
Model Size7b
Required VRAM7.4 GB
Updated2025-08-18
Maintainerkyo-takano
Model Typegpt_neox
Model Files  7.4 GB
Supported Languagesja
Quantization Type8bit
Model ArchitectureGPTNeoXForCausalLM
Licensecc-by-sa-4.0
Context Length2048
Model Max Length2048
Transformers Version4.30.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|padding|>
Vocabulary Size52224
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than kyo-takano/open-calm-7b-8bit.

Rank the Open Calm 7B 8bit Capabilities

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Release v20241124
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