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Hermes 2 Theta Llama 3 70B AWQ by QFactor

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Hermes 2 Theta Llama 3 70B AWQ is an open-source language model by QFactor. Features: 70b LLM, VRAM: 39.8GB, Context: 8K, License: llama3, Quantized, LLM Explorer Score: 0.14.

  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/QFactor/Hermes-2-Theta-Llama-3-70B-AWQ 

Hermes 2 Theta Llama 3 70B AWQ Benchmarks

LLME Score: 0.13776
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hermes 2 Theta Llama 3 70B AWQ (QFactor/Hermes-2-Theta-Llama-3-70B-AWQ)
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Hermes 2 Theta Llama 3 70B AWQ Parameters and Internals

LLM NameHermes 2 Theta Llama 3 70B AWQ
Repository 🤗https://huggingface.co/QFactor/Hermes-2-Theta-Llama-3-70B-AWQ 
Base Model(s)  Hermes 2 Theta Llama 3 70B   NousResearch/Hermes-2-Theta-Llama-3-70B
Model Size70b
Required VRAM39.8 GB
Updated2025-09-23
MaintainerQFactor
Model Typellama
Model Files  10.0 GB: 1-of-4   10.0 GB: 2-of-4   9.9 GB: 3-of-4   9.9 GB: 4-of-4
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.42.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than QFactor/Hermes-2-Theta-Llama-3-70B-AWQ.

Rank the Hermes 2 Theta Llama 3 70B AWQ 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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