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Llama 3 70B Instruct Gradient 262K by gradientai

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  Arxiv:2305.14233   Arxiv:2309.00071   Arxiv:2310.05209   Arxiv:2402.08268   Autotrain compatible   Conversational   Doi:10.57967/hf/3371   En   Endpoints compatible   Instruct   Llama   Llama-3   Meta   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/gradientai/Llama-3-70B-Instruct-Gradient-262k 

Llama 3 70B Instruct Gradient 262K Benchmarks

ARC: 67.58 vs 96.7 (so35)-30.1%
HellaSwag: 86.4 vs 95.3 (gpt4)-9.3%
MMLU: 77.19 vs 88.3 (so35)-12.6%
TruthfulQA: 54.68 vs 59 (gpt4)-7.3%
WinoGrande: 83.98 vs 87.5 (gpt4)-4%
GSM8K: 80.44 vs 96.4 (so35)-16.6%
LLME Score: 0.22136
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 70B Instruct Gradient 262K (gradientai/Llama-3-70B-Instruct-Gradient-262k)

Llama 3 70B Instruct Gradient 262K Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
commercial, research
Primary Use Cases:
assistant-like chat
Limitations:
Use in languages other than English, Applicable law and regulation compliance required
Additional Notes 
Designed for a diverse range of applications with a focus on safety and openness.
Training Details 
Data Sources:
SlimPajama, UltraChat
Data Volume:
15 trillion tokens
Context Length:
320200
Hardware Used:
NVIDIA L40S
Model Architecture:
Auto-regressive transformer with Grouped-Query Attention (GQA)
Safety Evaluation 
Methodologies:
red teaming exercises, adversarial evaluations
Risk Categories:
Child Safety, Cyber Security
Ethical Considerations:
open approach leads to better, safer products, and requires community feedback.
Responsible Ai Considerations 
Transparency:
open sourcing for community use and input
Mitigation Strategies:
Purple Llama and Llama Guard for enhanced safety
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text and code
Release Notes 
Version:
April 18, 2024
Date:
static
Notes:
Improved safety and performance guidelines
LLM NameLlama 3 70B Instruct Gradient 262K
Repository 🤗https://huggingface.co/gradientai/Llama-3-70B-Instruct-Gradient-262k 
Model Size70b
Required VRAM141.9 GB
Updated2024-12-22
Maintainergradientai
Model Typellama
Instruction-BasedYes
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length262144
Model Max Length262144
Transformers Version4.41.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than gradientai/Llama-3-70B-Instruct-Gradient-262k.

Rank the Llama 3 70B Instruct Gradient 262K 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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Release v20241217
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