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Athene 70B AWQ by radm

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Athene 70B AWQ is an open-source language model by radm. Features: 70b LLM, VRAM: 39.9GB, Context: 8K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.14.

  4-bit   Athene   Awq   Chat model   Conversational   En   Endpoints compatible   Fp16   Llama   Nexusflow   Quantized   Region:us   Rlhf   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/radm/Athene-70B-AWQ 

Athene 70B AWQ Benchmarks

LLME Score: 0.14279
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Athene 70B AWQ (radm/Athene-70B-AWQ)
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Athene 70B AWQ Parameters and Internals

LLM NameAthene 70B AWQ
Repository 🤗https://huggingface.co/radm/Athene-70B-AWQ 
Model Size70b
Required VRAM39.9 GB
Updated2026-05-10
Maintainerradm
Model Typellama
Model Files  5.0 GB: 1-of-9   4.9 GB: 2-of-9   4.9 GB: 3-of-9   4.9 GB: 4-of-9   4.9 GB: 5-of-9   4.9 GB: 6-of-9   4.9 GB: 7-of-9   3.4 GB: 8-of-9   2.1 GB: 9-of-9
Supported Languagesen
AWQ QuantizationYes
Quantization Typefp16|awq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.42.4
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_0|>
Vocabulary Size128256
Torch Data Typefloat16

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...0B Instruct Gradient 1048K AWQ1024K / 39.9 GB121
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Llama 3.3 70B Instruct AWQ128K / 39.9 GB51912711
...lama 3.3 70B Instruct AWQ INT4128K / 39.9 GB21186831
Llama 3.3 70B Instruct AWQ128K / 39.9 GB17849545
... SauerkrautLM 70B Instruct AWQ128K / 39.9 GB195
MultiVerse 70B AWQ32K / 41.3 GB1072
Opus V1.2 70B AWQ32K / 36.7 GB121
QuartetAnemoi 70B T0.0001 AWQ31K / 36.7 GB41
Senku 70B AWQ 4bit GEMM31K / 36.7 GB21
Note: green Score (e.g. "73.2") means that the model is better than radm/Athene-70B-AWQ.

Rank the Athene 70B AWQ 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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