Nous Hermes Llama2 AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:nousresearch/nous-h... Base model:quantized:nousresea...   Distillation   En   Llama   Llama2   Quantized   Region:us   Safetensors   Self-instruct   Synthetic instruction

Nous Hermes Llama2 AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nous Hermes Llama2 AWQ (TheBloke/Nous-Hermes-Llama2-AWQ)

Nous Hermes Llama2 AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
Uses AWQ quantization method, supporting efficient 4-bit quantization.
Training Details 
Data Sources:
GPTeacher, Wizard LM, Nous Research Instruct Dataset, GPT4-LLM, Unnatural Instructions, Airoboros dataset, Camel-AI's domain expert datasets, CodeAlpaca
Methodology:
Fine-tuned on over 300,000 instructions using synthetic GPT-4 outputs
Context Length:
4096
Hardware Used:
8x A100 80GB DGX machine
Model Architecture:
Llama 2 13B
LLM NameNous Hermes Llama2 AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Nous-Hermes-Llama2-AWQ 
Model NameNous Hermes Llama 2 13B
Model CreatorNousResearch
Base Model(s)  Nous Hermes Llama2 13B   NousResearch/Nous-Hermes-Llama2-13b
Model Size13b
Required VRAM7.2 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Model Files  7.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32032
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Nous-Hermes-Llama2-AWQ.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Code Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217