8K
0.924
0.924
70B
Chat
Active

Llama 3 70B Instruct Reference

Llama 3 70B Instruct: Advanced language model by Meta, offering superior reasoning, code generation, and instruction-following capabilities for various applications.
Llama 3 70B Instruct ReferenceTechflow Logo - Techflow X Webflow Template

Llama 3 70B Instruct Reference

State-of-the-art 70B parameter LLM for diverse language tasks and applications.

Llama 3 70B Instruct Reference Description

Model Name: Llama 3 70B Instruct

Developer/Creator: Meta

Release Date: April 18, 2024

Version: 3

Model Type: Large Language Model (LLM)

Overview:

Llama 3 70B Instruct is a state-of-the-art large language model designed for assistant-like chat and natural language generation tasks. It represents a significant leap over its predecessor, Llama 2, offering improved capabilities in reasoning, code generation, and instruction following.

Key Features:
  • Advanced reasoning and code generation capabilities
  • Improved instruction following and alignment
  • Reduced false refusal rates
  • Increased diversity in model responses
  • Enhanced steerable outputs
Intended Use:

The model is primarily intended for commercial and research use in English, focusing on assistant-like chat applications and various natural language generation tasks.

Language Support:

While primarily designed for English, developers may fine-tune the model for other languages, provided they comply with the Llama 3 Community License and Acceptable Use Policy.

Technical Details

Architecture:
  • Decoder-only transformer architecture
  • 70 billion parameters
  • Grouped Query Attention (GQA) for improved inference efficiency
  • 128K token vocabulary for more efficient language encoding
  • 8,192 token context window
Training Data:
  • Trained on up to 15 trillion tokens
  • Continued improvement observed even after training on two orders of magnitude more data than the Chinchilla-optimal amount
  • Diverse dataset to enhance model performance and reduce biases
Performance Metrics:
  • MMLU score: 0.82
  • Quality Index across evaluations: 62
  • Output speed: 54.3 tokens per second
  • Time to First Token (TTFT): 0.44 seconds
Comparison to Other Models:
  • Establishes new state-of-the-art for LLM models at the 70B parameter scale
  • Outperforms competing models of comparable size in real-world scenarios, as evaluated by human annotators

Usage

Code Samples:
Ethical Guidelines

Llama 3 70B Instruct adheres to strict ethical considerations:

  • Promotes openness, inclusivity, and helpfulness
  • Designed to serve a wide range of use cases and backgrounds
  • Respects user dignity and autonomy
  • Avoids unnecessary judgment or normativity
  • Follows a Responsible Use Guide to mitigate potential misuse and critical risks
Licensing

License Type: Llama 3 Community License

Llama 3 70B Instruct Reference Description

Model Name: Llama 3 70B Instruct

Developer/Creator: Meta

Release Date: April 18, 2024

Version: 3

Model Type: Large Language Model (LLM)

Overview:

Llama 3 70B Instruct is a state-of-the-art large language model designed for assistant-like chat and natural language generation tasks. It represents a significant leap over its predecessor, Llama 2, offering improved capabilities in reasoning, code generation, and instruction following.

Key Features:
  • Advanced reasoning and code generation capabilities
  • Improved instruction following and alignment
  • Reduced false refusal rates
  • Increased diversity in model responses
  • Enhanced steerable outputs
Intended Use:

The model is primarily intended for commercial and research use in English, focusing on assistant-like chat applications and various natural language generation tasks.

Language Support:

While primarily designed for English, developers may fine-tune the model for other languages, provided they comply with the Llama 3 Community License and Acceptable Use Policy.

Technical Details

Architecture:
  • Decoder-only transformer architecture
  • 70 billion parameters
  • Grouped Query Attention (GQA) for improved inference efficiency
  • 128K token vocabulary for more efficient language encoding
  • 8,192 token context window
Training Data:
  • Trained on up to 15 trillion tokens
  • Continued improvement observed even after training on two orders of magnitude more data than the Chinchilla-optimal amount
  • Diverse dataset to enhance model performance and reduce biases
Performance Metrics:
  • MMLU score: 0.82
  • Quality Index across evaluations: 62
  • Output speed: 54.3 tokens per second
  • Time to First Token (TTFT): 0.44 seconds
Comparison to Other Models:
  • Establishes new state-of-the-art for LLM models at the 70B parameter scale
  • Outperforms competing models of comparable size in real-world scenarios, as evaluated by human annotators

Usage

Code Samples:
Ethical Guidelines

Llama 3 70B Instruct adheres to strict ethical considerations:

  • Promotes openness, inclusivity, and helpfulness
  • Designed to serve a wide range of use cases and backgrounds
  • Respects user dignity and autonomy
  • Avoids unnecessary judgment or normativity
  • Follows a Responsible Use Guide to mitigate potential misuse and critical risks
Licensing

License Type: Llama 3 Community License

Try it now

400+ AI Models

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

The Best Growth Choice
for Enterprise

Get API Key
Testimonials

Our Clients' Voices