Hermes 2 Theta Llama 3 8B AWQ by solidrust

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  4-bit   Autotrain compatible   Awq Base model:nousresearch/hermes... Base model:quantized:nousresea...   Conversational   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Hermes 2 Theta Llama 3 8B AWQ Benchmarks

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 8B AWQ (solidrust/Hermes-2-Theta-Llama-3-8B-AWQ)

Hermes 2 Theta Llama 3 8B AWQ Parameters and Internals

Model Type 
text generation
Additional Notes 
Supports 4-bit AWQ quantization, providing efficient and high-speed inference.
Input Output 
Input Format:
text input transformable by tokenizer to prompt
Accepted Modalities:
text
Output Format:
generated text
Performance Tips:
Use NVidia GPUs and latest software versions for best results.
LLM NameHermes 2 Theta Llama 3 8B AWQ
Repository ๐Ÿค—https://huggingface.co/solidrust/Hermes-2-Theta-Llama-3-8B-AWQ 
Base Model(s)  Hermes 2 Theta Llama 3 8B   NousResearch/Hermes-2-Theta-Llama-3-8B
Model Size8b
Required VRAM5.8 GB
Updated2025-02-05
Maintainersolidrust
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.0
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 solidrust/Hermes-2-Theta-Llama-3-8B-AWQ.

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Instruction Following and Task Automation  
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Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227