Activefrontierllm Open Source

Llama 3.3 70B

by Meta· Released December 2024· Cutoff August 2024

Llama 3.3 70B is Meta's most advanced open-source large language model, offering state-of-the-art performance in reasoning, coding, and multilingual tasks. It is a text-only model optimized for instruction following and safety, serving as a cost-effective alternative to larger models like Llama 3.1 405B.

Official Site API Docs 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

128K tokens

Max output

8192 tokens

Modalities

text

Parameters

70B

License

Llama 3.3 Community License

Capabilities

Function CallingCode GenerationStreamingJSON ModeMultilingual SupportInstruction FollowingReasoning

Best For

High-performance text generation and reasoning tasks with a focus on cost efficiency and open-source flexibility.

Strengths

Competitive performance with models like GPT-4 and Claude 3.5 Sonnet
Strong reasoning and coding capabilities
128K context window for long documents
Open-source with permissive license
Efficient inference compared to larger models

Limitations

Text-only model, no vision or multimodal support
Requires significant computational resources for local deployment
May still exhibit biases present in training data
Not as strong in creative writing as some specialized models
Limited to 8192 output tokens

Use Cases

Chatbots and virtual assistants

Code generation and debugging

Document summarization and analysis

Language translation and multilingual tasks

Educational tutoring and Q&A

Content creation and drafting

Data extraction and structured output

Improvements Over Previous Model

Improved reasoning and instruction following over Llama 3.1 70B
Enhanced safety and alignment with reduced refusal rates
Better multilingual performance across 8 languages
Optimized for efficient inference with reduced latency
Higher accuracy on coding benchmarks (HumanEval 89% vs 81%)
Supports longer context up to 128K tokens (same as predecessor)
Lower computational cost for deployment compared to Llama 3.1 405B

Back to all models

Improvements Over Previous Model

Improved reasoning and instruction following over Llama 3.1 70B

Enhanced safety and alignment with reduced refusal rates

Better multilingual performance across 8 languages

Optimized for efficient inference with reduced latency

Higher accuracy on coding benchmarks (HumanEval 89% vs 81%)

Supports longer context up to 128K tokens (same as predecessor)

Lower computational cost for deployment compared to Llama 3.1 405B