Cyberagent Calm2 7B Chat GPTQ Calib Ja 1K by mmnga

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  4bit   Autotrain compatible   Endpoints compatible   Gptq   Llama   Quantized   Region:us

Cyberagent Calm2 7B Chat GPTQ Calib Ja 1K Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Cyberagent Calm2 7B Chat GPTQ Calib Ja 1K Parameters and Internals

LLM NameCyberagent Calm2 7B Chat GPTQ Calib Ja 1K
Repository ๐Ÿค—https://huggingface.co/mmnga/cyberagent-calm2-7b-chat-GPTQ-calib-ja-1k 
Model Size7b
Required VRAM4.4 GB
Updated2024-09-07
Maintainermmnga
Model Typellama
Model Files  4.4 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|padding|>
Vocabulary Size65024
Torch Data Typebfloat16
Cyberagent Calm2 7B Chat GPTQ Calib Ja 1K (mmnga/cyberagent-calm2-7b-chat-GPTQ-calib-ja-1k)

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Note: green Score (e.g. "73.2") means that the model is better than mmnga/cyberagent-calm2-7b-chat-GPTQ-calib-ja-1k.

Rank the Cyberagent Calm2 7B Chat GPTQ Calib Ja 1K Capabilities

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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 v2024072803