Llama 2 13B AWQ by TheBloke

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  Arxiv:2307.09288   4-bit   Autotrain compatible   Awq Base model:meta-llama/llama-2-... Base model:quantized:meta-llam...   En   Facebook   Llama   Llama2   Meta   Pytorch   Quantized   Region:us   Safetensors

Llama 2 13B AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 13B AWQ (TheBloke/Llama-2-13B-AWQ)

Llama 2 13B AWQ Parameters and Internals

Model Type 
llama
Training Details 
Data Sources:
A new mix of publicly available online data
Data Volume:
2 trillion tokens
Methodology:
Pretraining and fine-tuning with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Hardware Used:
A100-80GB GPUs
Model Architecture:
Auto-regressive language model using an optimized transformer architecture
Input Output 
Input Format:
Text-only inputs
Output Format:
Generates text only
LLM NameLlama 2 13B AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Llama-2-13B-AWQ 
Model NameLlama 2 13B
Model CreatorMeta
Base Model(s)  Llama 2 13B Hf   meta-llama/Llama-2-13b-hf
Model Size13b
Required VRAM7.2 GB
Updated2025-02-05
MaintainerTheBloke
Model Typellama
Model Files  7.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
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 Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-13B-AWQ.

Rank the Llama 2 13B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227