Llama 2 70B GGUF by TheBloke

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  Arxiv:2307.09288 Base model:meta-llama/llama-2-... Base model:quantized:meta-llam...   En   Facebook   Gguf   Llama   Llama2   Meta   Pytorch   Quantized   Region:us

Llama 2 70B GGUF 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 70B GGUF (TheBloke/Llama-2-70B-GGUF)

Llama 2 70B GGUF Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
commercial use, research
Primary Use Cases:
assistant-like chat, natural language generation tasks
Considerations:
Specific formatting needed for expected features, including special tokens and tags.
Additional Notes 
Llama 2 models perform best with English datasets.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
A new mix of publicly available online data
Data Volume:
2.0T tokens
Methodology:
auto-regressive language model
Context Length:
4000
Training Time:
January 2023 - July 2023
Hardware Used:
Meta's Research Super Cluster, production clusters, A100-80GB GPUs
Model Architecture:
optimized transformer architecture with Grouped-Query Attention (GQA) for improved inference scalability
Input Output 
Input Format:
Expected text format with 'INST' and '<>' tags, 'BOS' and 'EOS' tokens
Accepted Modalities:
text
Output Format:
text generation
Performance Tips:
Proper formatting required for intended outputs.
LLM NameLlama 2 70B GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/Llama-2-70B-GGUF 
Model NameLlama 2 70B
Model CreatorMeta Llama 2
Base Model(s)  Llama 2 70B Hf   meta-llama/Llama-2-70b-hf
Model Size70b
Required VRAM29.3 GB
Updated2025-04-25
MaintainerTheBloke
Model Typellama
Model Files  29.3 GB   36.1 GB   33.2 GB   29.9 GB   38.9 GB   41.4 GB   39.1 GB   47.5 GB   48.8 GB   47.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-70B-GGUF.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227