Llama-3.3-70B-Instruct
Llama 3.3 70B Instruct offers enhanced reasoning, math, and instruction following with performance comparable to Llama 3.1 405B.Meta
MetaDirect from Azure
Version: 9
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About this model
The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.Key model capabilities
| Category | Benchmark | # Shots | Metric | Llama 3.1 8B Instruct | Llama 3.1 70B Instruct | Llama-3.3 70B Instruct | Llama 3.1 405B Instruct |
|---|---|---|---|---|---|---|---|
| MMLU (CoT) | 0 | macro_avg/acc | 73.0 | 86.0 | 86.0 | 88.6 | |
| MMLU Pro (CoT) | 5 | macro_avg/acc | 48.3 | 66.4 | 68.9 | 73.3 | |
| Steerability | IFEval | 80.4 | 87.5 | 92.1 | 88.6 | ||
| Reasoning | GPQA Diamond (CoT) | 0 | acc | 31.8 | 48.0 | 50.5 | 49.0 |
| Code | HumanEval | 0 | pass@1 | 72.6 | 80.5 | 88.4 | 89.0 |
| MBPP EvalPlus (base) | 0 | pass@1 | 72.8 | 86.0 | 87.6 | 88.6 | |
| Math | MATH (CoT) | 0 | sympy_intersection_score | 51.9 | 68.0 | 77.0 | 73.8 |
| Tool Use | BFCL v2 | 0 | overall_ast_summary/macro_avg/valid | 65.4 | 77.5 | 77.3 | 81.1 |
| Multilingual | MGSM | 0 | em | 68.9 | 86.9 | 91.1 | 91.6 |
Quick facts
Model providerMeta
TypeChat completion
LifecycleGenerally available (GA)
Input typetext
Output typetext
Context window128k
Token limits8192 output
PricingView pricing