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Llama 2 70B Chat GGML by TheBloke

 »  All LLMs  »  TheBloke  »  Llama 2 70B Chat GGML   URL Share it on

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  Arxiv:2307.09288 Base model:finetune:meta-llama... Base model:meta-llama/llama-2-...   En   Facebook   Ggml   Llama   Llama2   Meta   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Llama-2-70B-Chat-GGML 

Llama 2 70B Chat GGML Benchmarks

LLME Score: 0.14103
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 Chat GGML (TheBloke/Llama-2-70B-Chat-GGML)

Llama 2 70B Chat GGML Parameters and Internals

Model Type 
text-generation, chatbot
Use Cases 
Areas:
commercial applications, research
Applications:
chatbots, natural language generation tasks
Primary Use Cases:
assistant-like interactions
Limitations:
English-only capability., Not intended for use in legally restricted areas.
Considerations:
Ensure compliance with the provided Acceptable Use Policy.
Additional Notes 
Technically adept users may modify and adapt quantization with stepwise guidance provided in the repository.
Supported Languages 
en (high), other_languages (not listed)
Training Details 
Data Sources:
publicly available sources, human-annotated examples
Data Volume:
2 trillion tokens
Methodology:
pretraining and fine-tuning with supervised techniques; uses Grouped-Query Attention for scalability in larger models
Context Length:
4000
Training Time:
January 2023 to July 2023
Hardware Used:
A100-80GB GPUs during pretraining
Model Architecture:
optimized transformer architecture
Safety Evaluation 
Methodologies:
internal safety evaluations, comparison with open-source and proprietary models
Findings:
Llama-2-Chat performs better on safety benchmarks than Llama 1 and comparably to some closed-source models.
Risk Categories:
misinformation, bias
Ethical Considerations:
Developers must ensure safety testing and tuning tailored to specific applications.
Responsible Ai Considerations 
Fairness:
The model is only tested in English.
Transparency:
The model's limitations and risk areas are highlighted.
Accountability:
Meta is accountable for the model's outputs.
Mitigation Strategies:
Meta offers a Responsible Use Guide to help developers safely use the model.
Input Output 
Input Format:
Input text prompts in provided template form.
Accepted Modalities:
text
Output Format:
Textual generation output.
Performance Tips:
Use proper configuration and hardware acceleration for optimal performance.
Release Notes 
Version:
70B Chat
Date:
July 2023
Notes:
Release of Llama 2 fine-tuned model with conversational optimization.
LLM NameLlama 2 70B Chat GGML
Repository 🤗https://huggingface.co/TheBloke/Llama-2-70B-Chat-GGML 
Model NameLlama 2 70B Chat
Model CreatorMeta Llama 2
Base Model(s)  Llama 2 70B Chat Hf   meta-llama/Llama-2-70b-chat-hf
Model Size70b
Required VRAM28.6 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Model Files  28.6 GB   36.1 GB   33.0 GB   29.7 GB   38.9 GB   43.2 GB   41.4 GB   38.9 GB   47.5 GB   48.8 GB   47.5 GB
Supported Languagesen
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel
Licenseother

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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