Large Language ModelText GenerationLlama 3 FamilyEnriched

Meta Llama 3

Meta Llama 3 is Meta’s third-generation open large language model family, released in 8B and 70B parameter sizes. It is optimized for instruction following, coding, and multilingual tasks, and is designed to be efficient enough for on-premise and edge deployment while remaining competitive with leading proprietary models.

by MetaReleased 2024-04-18Llama 3 Community
Context Window
8K
Parameters
8B / 70B
API Access
Available

Key Capabilities

  • +General-purpose chat and instruction following
  • +Code generation and debugging across popular languages
  • +Multilingual understanding and generation
  • +On-premise and edge deployment with open weights
  • +Tool use and function calling when integrated into a system
  • +Customization via fine-tuning or LoRA adapters by third parties

Limitations

  • -Smaller context window than some frontier proprietary models
  • -May hallucinate facts or references, especially outside training distribution
  • -Safety and alignment depend heavily on deployment-time guardrails
  • -Open weights increase risk of misuse without proper controls

Benchmark Performance

math

math

MATH

52.8%
math

Grade School Math 8K

83.0%

reasoning

reasoning

Graduate-Level Google-Proof Q&A

41.3%
reasoning

BIG-Bench Hard

81.3%
reasoningsource

Massive Multitask Language Understanding

80.2%

conversation

conversation

Chatbot Arena Elo

1207.0Elo
conversation

Multi-Turn Benchmark

8.5score

coding

coding

HumanEval

70.1%

Alternatives & Comparisons

GPT-4oProprietary LLM

Frontier-level performance with larger context and multimodal support

Strengths
  • + Higher performance on many reasoning and coding benchmarks
  • + Native multimodal capabilities
Weaknesses
  • - Closed weights and proprietary
  • - Generally higher cost per token
Claude 3 SonnetProprietary LLM

Balanced cost-performance proprietary model with strong reasoning and safety focus

Strengths
  • + Strong reasoning and writing quality
  • + Good safety and refusal behavior
Weaknesses
  • - Closed-source and API-only
  • - Less flexible for on-prem or edge deployment