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Llama 3 NeuralHercules 5.0 8B AWQ by solidrust

 »  All LLMs  »  solidrust  »  Llama 3 NeuralHercules 5.0 8B AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq Base model:locutusque/llama-3-... Base model:quantized:locutusqu...   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/solidrust/Llama-3-NeuralHercules-5.0-8B-AWQ 

Llama 3 NeuralHercules 5.0 8B AWQ Benchmarks

LLME Score: 0.19864
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 NeuralHercules 5.0 8B AWQ (solidrust/Llama-3-NeuralHercules-5.0-8B-AWQ)

Llama 3 NeuralHercules 5.0 8B AWQ Parameters and Internals

Model Type 
text generation
Additional Notes 
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
LLM NameLlama 3 NeuralHercules 5.0 8B AWQ
Repository 🤗https://huggingface.co/solidrust/Llama-3-NeuralHercules-5.0-8B-AWQ 
Base Model(s)  Locutusque/Llama-3-NeuralHercules-5.0-8B   Locutusque/Llama-3-NeuralHercules-5.0-8B
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 Version4.41.1
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/Llama-3-NeuralHercules-5.0-8B-AWQ.

Rank the Llama 3 NeuralHercules 5.0 8B 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  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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