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Aya 23 8B 4bq by QuantiPhy

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  13   
  Arxiv:1910.09700   4-bit   Autotrain compatible   Bitsandbytes   Cohere   Endpoints compatible   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/QuantiPhy/aya-23-8B-4bq 

Aya 23 8B 4bq Benchmarks

LLME Score: 0.20435
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aya 23 8B 4bq (QuantiPhy/aya-23-8B-4bq)

Aya 23 8B 4bq Parameters and Internals

LLM NameAya 23 8B 4bq
Repository 🤗https://huggingface.co/QuantiPhy/aya-23-8B-4bq 
Model Size8b
Required VRAM5.7 GB
Updated2024-12-21
MaintainerQuantiPhy
Model Typecohere
Model Files  5.0 GB: 1-of-2   0.7 GB: 2-of-2
Model ArchitectureCohereForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.42.0.dev0
Vocabulary Size256000
Torch Data Typebfloat16

Quantized Models of the Aya 23 8B 4bq

Model
Likes
Downloads
VRAM
Aya 23 8B 4bit2204 GB

Best Alternatives to Aya 23 8B 4bq

Best Alternatives
Context / RAM
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Aya Expanse 8B8K / 16 GB37388307
Aya 23 8B Quantized8K / 8.1 GB493
...ng On New Data For Testing Aya8K / 18.1 GB110
AYA 8B8K / 32.1 GB180
Paya8K / 16 GB55
U3reb8K / 5.7 GB00
Aya 23 8B 4bit8K / 4.5 GB202
...ereForAI Aya 23 8B 6 0bpw EXL28K / 9.2 GB122
Aya 23 8B 8bit8K / 8.5 GB151
...reForAI Aya 23 8B 3 75bpw EXL28K / 6.7 GB100
Note: green Score (e.g. "73.2") means that the model is better than QuantiPhy/aya-23-8B-4bq.

Rank the Aya 23 8B 4bq 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  
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Multi-Language Support and Translation  

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Release v20241217
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