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Aya 23 8B 4bit by mlx-community

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Aya 23 8B 4bit Benchmarks

LLME Score: 0.20595
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 4bit Parameters and Internals

Model Type 
transformer
Additional Notes 
The model was converted to MLX format using mlx-lm version 0.13.1.
Supported Languages 
en (full), fr (full), de (full), es (full), it (full), pt (full), ja (full), ko (full), zh (full), ar (full), el (full), fa (full), pl (full), id (full), cs (full), he (full), hi (full), nl (full), ro (full), ru (full), tr (full), uk (full), vi (full)
LLM NameAya 23 8B 4bit
Repository 🤗https://huggingface.co/mlx-community/aya-23-8B-4bit 
Base Model(s)  Aya 23 8B 4bq   QuantiPhy/aya-23-8B-4bq
Model Size8b
Required VRAM4.5 GB
Updated2024-11-21
Maintainermlx-community
Model Typecohere
Model Files  4.5 GB
Supported Languagesen fr de es it pt ja ko zh ar el fa pl id cs he hi nl ro ru tr uk vi
Quantization Type4bit
Model ArchitectureCohereForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassCohereTokenizer
Padding Token<PAD>
Vocabulary Size256000
Torch Data Typefloat16
Aya 23 8B 4bit (mlx-community/aya-23-8B-4bit)

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Aya 23 8B 4.0bpw H6 EXL28K / 6.9 GB90
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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/aya-23-8B-4bit.

Rank the Aya 23 8B 4bit Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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