Athene V2 Chat 4.65bpw H6 EXL2 by wolfram

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Athene V2 Chat 4.65bpw H6 EXL2 is an open-source language model by wolfram. Features: 72b LLM, VRAM: 44.3GB, Context: 32K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

  Ara   Athene Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-72b-in...   Chat model   Conversational   Deu   Endpoints compatible   Eng   Exl2   Fra   Instruct   Ita   Jpn   Kor   Nexusflow   Por   Quantized   Qwen2   Region:us   Rlhf   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Vie   Zho

Athene V2 Chat 4.65bpw H6 EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Athene V2 Chat 4.65bpw H6 EXL2 (wolfram/Athene-V2-Chat-4.65bpw-h6-exl2)
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Athene V2 Chat 4.65bpw H6 EXL2 Parameters and Internals

LLM NameAthene V2 Chat 4.65bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/wolfram/Athene-V2-Chat-4.65bpw-h6-exl2 
Base Model(s)  Qwen/Qwen2.5-72B-Instruct   Qwen/Qwen2.5-72B-Instruct
Model Size72b
Required VRAM44.3 GB
Updated2026-04-10
Maintainerwolfram
Model Typeqwen2
Instruction-BasedYes
Model Files  8.5 GB: 1-of-6   8.6 GB: 2-of-6   8.6 GB: 3-of-6   8.4 GB: 4-of-6   8.6 GB: 5-of-6   1.6 GB: 6-of-6
Supported Languagesen
Quantization Typeexl2
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than wolfram/Athene-V2-Chat-4.65bpw-h6-exl2.

Rank the Athene V2 Chat 4.65bpw H6 EXL2 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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Release v20260328a