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Calm2 7B Chat by cyberagent

 »  All LLMs  »  cyberagent  »  Calm2 7B Chat   URL Share it on

  5231   
  Arxiv:2302.13971   Autotrain compatible   En   Ja   Japanese   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cyberagent/calm2-7b-chat 

Calm2 7B Chat Benchmarks

ARC: 40.27 vs 96.7 (so35)-58.4%
HellaSwag: 68.12 vs 95.3 (gpt4)-28.5%
MMLU: 39.39 vs 88.3 (so35)-55.4%
TruthfulQA: 41.96 vs 59 (gpt4)-28.9%
WinoGrande: 64.96 vs 87.5 (gpt4)-25.8%
GSM8K: 4.93 vs 96.4 (so35)-94.9%
LLME Score: 0.2332
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Calm2 7B Chat (cyberagent/calm2-7b-chat)

Calm2 7B Chat Parameters and Internals

Model Type 
Transformer-based Language Model, Causal language model (Causal-LM)
Supported Languages 
ja (Japanese), en (English)
LLM NameCalm2 7B Chat
Repository 🤗https://huggingface.co/cyberagent/calm2-7b-chat 
Model Size7b
Required VRAM14 GB
Updated2024-12-22
Maintainercyberagent
Model Typellama
Model Files  10.0 GB: 1-of-2   4.0 GB: 2-of-2   10.0 GB: 1-of-2   4.0 GB: 2-of-2
Supported Languagesja en
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassGPTNeoXTokenizerFast
Padding Token<|padding|>
Vocabulary Size65024
Torch Data Typebfloat16

Quantized Models of the Calm2 7B Chat

Model
Likes
Downloads
VRAM
Calm2 7B Chat GGUF104233 GB
Calm2 7B Chat AWQ2614 GB
Calm2 7B Chat GPTQ6274 GB

Best Alternatives to Calm2 7B Chat

Best Alternatives
Context / RAM
Downloads
Likes
...1M 1000000ctx AEZAKMI 3 1 17021024K / 13.5 GB851
... Qwen2.5llamaify 7B V23.1 200K195K / 15.2 GB29350
SuperNeuralDreadDevil 8B128K / 16.1 GB1551
Yarn Llama 2 7B 128K128K / 13.5 GB226240
LLaMA 7B PoSE YaRN 128K128K / 13.5 GB113
LLaMA 7B PoSE Linear 96K96K / 27 GB102
LLaMA 7B PoSE YaRN 96K96K / 13.5 GB111
Chat Llama2 7B 80K80K / 13.8 GB260
Llama2 7B 80K80K / 13.8 GB250
Lloma Step40064K / 13.5 GB800
Note: green Score (e.g. "73.2") means that the model is better than cyberagent/calm2-7b-chat.

Rank the Calm2 7B Chat Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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