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Llama 3.1 Nemotron 70B Instruct
NvidiaOverview
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Quick Links
Key Metrics
Max Input
128K
Tokens
Max Output
4K
Tokens
Input Price
-
Per 1M Tokens
Output Price
-
Per 1M Tokens
Throughput
-
tok/s
Latency
-
ms
Model Information
Release Details
Released
01 Oct 2024
Knowledge Cutoff
Dec 2023
License
Llama 3.1 Community License
Model Architecture
Parameters
-
Training Data
-
Context Window
Input Context Length
128,000 tokens
Output Context Length
4,000 tokens
Key Features
Web Access
No
Real-time access to current web information
Multimodal
No
Ability to process multiple data types (text, images, etc.)
Reasoning
Unknown
Advanced logical and deductive reasoning capabilities
Fine-Tunable
Unknown
Can be customized for specific use cases
Model Release & Updates
01 Oct 2024
Model Released
Model first made available to the public
Benchmarks & Performance Comparison
GPQA
-
LisanBench
-
AidanBench
-
Aider-Polyglot
-
LiveBench
-
AIME 2024
-
ARC-AGI-1
-
ARC-AGI-2
-
AIME 2025
-
Humanity's Last Exam
-