Code Llama 13B: Complete Benchmark Performance Guide

meta code-llama-13b 2023-08-24 Llama 2 Community License

In-depth analysis of Code Llama 13B performance on MMLU, HumanEval, GSM8K, MATH, BBH benchmarks, including pricing and use cases.

Key Specifications

Vendormeta
Versioncode-llama-13b
Release Date2023-08-24
Context Window16000 tokens
Input Modalitiestext
Output Modalitiestext
LicenseLlama 2 Community License
Documentationhttps://llama.meta.com/docs/

Benchmark Performance

BenchmarkScoreUnitEvaluated AtNotesSource
MMLU65.9%2023-08-245-shotview
HUMANEVAL69.5pass@12023-08-24—view
GSM8K55.9%2023-08-240-shot CoTview
MATH37.8%2023-08-240-shot CoTview
BBH71%2023-08-243-shot CoTview
GPQA36.4%2023-08-240-shotview
IFEVAL50.1%2023-08-24prompt_strictview
ARC87.8%2023-08-24challengeview
MUSR47.3%2023-08-240-shotview
WINOGRANDE70.4%2023-08-240-shotview

Pricing

TierPriceCurrency
Input$0.3 / MtokUSD
Output$0.3 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://ai.meta.com/blog/ · as of 2023-08-24

Compliance

  • Data Residency: self-host
  • SOC2: ✗
  • HIPAA: ✗
  • GDPR: ✗
  • ISO 27001: ✗

Code Llama 13B

Modellöversikt

Meta Code Llama 13B 代码专用开源模型, 16K 上下文, 13B 参数, 适合中等规模代码任务部署。

Kärnspecifikationer

LeverantörVersionReleasedatumKontextfönsterInmatningsmodaliteterUtmatningsmodaliteterLicens
Metacode-llama-13b2023-08-2416KtexttextLlama 2 Community License

Benchmarkprestanda

BenchmarkPoängEnhetAnteckningar
MMLU (Massive Multitask Language Understanding)65.9%5-shot
HumanEval69.5pass@1—
GSM8K (Grade School Math 8K)55.9%0-shot CoT
MATH37.8%0-shot CoT
BBH (BIG-Bench Hard)71.0%3-shot CoT
GPQA36.4%0-shot
IFEval50.1%prompt_strict
ARC87.8%challenge
MUSR47.3%0-shot
WinoGrande70.4%0-shot

Priser

InmatningUtmatningCacheläsningCacheskrivning
————

per miljon tokens

Styrkor

  • 可靠的通用模型。

Svagheter

  • 闭源专有模型，不支持自托管。
  • 上下文窗口 16K 偏小。

Användningsområden

  • 代码生成与调试

Referenser