Meta Llama 3 70B Instruct Marlin is an open-source language model by mgoin. Features: 70b LLM, VRAM: 39.5GB, Context: 8K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.23, ELO: 1118.
Meta Llama 3 70B Instruct Marlin Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 70B Instruct Marlin Parameters and Internals
Model Type
Use Cases
Areas:
Applications: Assistant-like chat, Natural language generation tasks
Primary Use Cases: Dialogue, General text generation
Limitations: Use is recommended only in English, Users must comply with license agreements and acceptable use policies.
Considerations: Developers should fine-tune models for specific languages and applications if needed.
Supported Languages language (English), proficiency (High)
Training Details
Data Sources: A new mix of publicly available online data
Data Volume:
Methodology: Supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Context Length:
Hardware Used: Meta's Research SuperCluster, third-party cloud compute
Model Architecture: Llama 3 is an auto-regressive language model with an optimized transformer architecture.
Safety Evaluation
Methodologies: Red teaming exercises, adversarial evaluations
Risk Categories: CBRNE risks, cybersecurity risks, child safety risks
Ethical Considerations: Safety evaluation included an assessment of the model's capability to handle sensitive topics responsibly.
Responsible Ai Considerations
Fairness: Considerations related to fairness and bias addressed.
Transparency: Open approach and documentation on safety standards.
Accountability: Meta is responsible for addressing misuse that arises from the model's capabilities.
Mitigation Strategies: Safety tools such as Meta Llama Guard 2 and Code Shield are available to mitigate risks.
Input Output
Input Format:
Accepted Modalities:
Output Format:
Release Notes
Version:
Date:
Notes: Initial release of Llama 3 family models.
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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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