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Aya 23 35B 4.65bpw H6 EXL2 by LoneStriker

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Aya 23 35B 4.65bpw H6 EXL2 is an open-source language model by LoneStriker. Features: 35b LLM, VRAM: 26.1GB, Context: 8K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.14.

  Ar   Autotrain compatible   Cohere   Conversational   Cs   De   El   En   Endpoints compatible   Es   Exl2   Fa   Fr   He   Hi   Id   It   Ja   Ko   Nl   Pl   Pt   Quantized   Region:us   Ro   Ru   Safetensors   Sharded   Tensorflow   Tr   Uk   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/LoneStriker/aya-23-35B-4.65bpw-h6-exl2 

Aya 23 35B 4.65bpw H6 EXL2 Benchmarks

LLME Score: 0.14478
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aya 23 35B 4.65bpw H6 EXL2 (LoneStriker/aya-23-35B-4.65bpw-h6-exl2)
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Aya 23 35B 4.65bpw H6 EXL2 Parameters and Internals

Model Type 
Multilingual, Auto-regressive language model
Use Cases 
Areas:
Research, Commercial applications
Additional Notes 
Supports 23 languages, focusing on multilingual capabilities.
Supported Languages 
Arabic (Full), Chinese (Full), Czech (Full), Dutch (Full), English (Full), French (Full), German (Full), Greek (Full), Hebrew (Full), Hindi (Full), Indonesian (Full), Italian (Full), Japanese (Full), Korean (Full), Persian (Full), Polish (Full), Portuguese (Full), Romanian (Full), Russian (Full), Spanish (Full), Turkish (Full), Ukrainian (Full), Vietnamese (Full)
Training Details 
Data Sources:
Aya Collection
Methodology:
Fine-tuned to follow human instructions
Context Length:
8192
Model Architecture:
Optimized transformer architecture
Input Output 
Input Format:
Text
Accepted Modalities:
Text
Output Format:
Text
LLM NameAya 23 35B 4.65bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/aya-23-35B-4.65bpw-h6-exl2 
Model Size35b
Required VRAM26.1 GB
Updated2025-09-23
MaintainerLoneStriker
Model Typecohere
Model Files  8.5 GB: 1-of-4   8.5 GB: 2-of-4   7.5 GB: 3-of-4   1.6 GB: 4-of-4
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 Typeexl2
Model ArchitectureCohereForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.41.0.dev0
Tokenizer ClassCohereTokenizer
Padding Token<PAD>
Vocabulary Size256000
Torch Data Typefloat16

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Aya 23 35B 8bit8K / 36.9 GB132
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Aya 23 35B 4.0bpw H6 EXL28K / 23.4 GB31
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Aya 23 35B 3.0bpw H6 EXL28K / 19 GB50
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...reForAI Aya 23 35B 4 0bpw EXL28K / 23.3 GB01
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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/aya-23-35B-4.65bpw-h6-exl2.

Rank the Aya 23 35B 4.65bpw H6 EXL2 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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