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EDGE 0 7B GGML by EDGE-AI

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  En   Facebook   Ggml   Llama   Llama2   Meta   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/EDGE-AI/EDGE_0-7B_GGML 

EDGE 0 7B GGML Benchmarks

LLME Score: 0.13253
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EDGE 0 7B GGML (EDGE-AI/EDGE_0-7B_GGML)

EDGE 0 7B GGML Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Commercial applications, Research
Primary Use Cases:
Assistant-like chat, Natural language generation tasks
Limitations:
Use in languages other than English
Considerations:
Specific formatting needs to be followed for chat versions. Use in any prohibited manner mentioned in the license.
Additional Notes 
This model was part of an open release by Meta with emphasis on commercial and research usability, governed under a specific licensing agreement.
Supported Languages 
en (English)
Training Details 
Data Sources:
A new mix of publicly available online data
Data Volume:
2 trillion tokens
Methodology:
Auto-regressive model using optimized transformer architecture with supervised fine-tuning and RLHF.
Context Length:
4000
Hardware Used:
Meta's Research Super Cluster, A100-80GB GPUs
Model Architecture:
Uses Grouped-Query Attention (GQA).
Safety Evaluation 
Ethical Considerations:
Llama 2 is a new technology that carries risks with use. Inaccurate, biased, or objectionable responses may occur.
Responsible Ai Considerations 
Transparency:
Responsible Use Guide provided by Meta.
Input Output 
Input Format:
Text input
Accepted Modalities:
text
Output Format:
Generates text
Performance Tips:
Specific formatting needs to be followed for chat versions using appropriate tokens and tags.
LLM NameEDGE 0 7B GGML
Repository 🤗https://huggingface.co/EDGE-AI/EDGE_0-7B_GGML 
Model Size7b
Required VRAM2.9 GB
Updated2024-12-22
MaintainerEDGE-AI
Model Typellama
Model Files  2.9 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.2 GB   4.1 GB   3.8 GB   4.6 GB   5.1 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
Supported Languagesen
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than EDGE-AI/EDGE_0-7B_GGML.

Rank the EDGE 0 7B GGML Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241217
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