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Calm3 22B Chat by cyberagent

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  Autotrain compatible   Conversational   En   Ja   Japanese   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cyberagent/calm3-22b-chat 

Calm3 22B Chat Benchmarks

MMLU Pro: 21.66
GPQA: 3.58
MUSR: 16.08
BBH: 29.52
IFEval: 50.91 vs 88 (so35)-42.1%
MATH Lvl 5: 6.5
LLME Score: 0.31816
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Calm3 22B Chat (cyberagent/calm3-22b-chat)

Calm3 22B Chat Parameters and Internals

Model Type 
Transformer-based Language Model
Supported Languages 
Japanese (N/A), English (N/A)
Training Details 
Data Volume:
2.0 trillion tokens
Context Length:
16384
Model Architecture:
Decoder-only
Input Output 
Input Format:
CALM3-Chat uses ChatML as the prompt format.
LLM NameCalm3 22B Chat
Repository 🤗https://huggingface.co/cyberagent/calm3-22b-chat 
Model Size22b
Required VRAM44.9 GB
Updated2025-02-05
Maintainercyberagent
Model Typellama
Model Files  4.9 GB: 1-of-10   4.9 GB: 2-of-10   4.8 GB: 3-of-10   4.9 GB: 4-of-10   5.0 GB: 5-of-10   4.8 GB: 6-of-10   4.9 GB: 7-of-10   4.8 GB: 8-of-10   4.9 GB: 9-of-10   1.0 GB: 10-of-10
Supported Languagesja en
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.42.3
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|padding|>
Vocabulary Size65024
Torch Data Typebfloat16

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Rank the Calm3 22B Chat Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241227
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