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Model Library
/Meta/Llama 3.3 70B Instruct
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Llama 3.3 70B Instruct

Ready
model path:accounts/fireworks/models/llama-v3p3-70b-instruct

Llama 3.3 70B Instruct is the December update of Llama 3.1 70B. The model improves upon Llama 3.1 70B (released July 2024) with advances in tool calling, multilingual text support, math and coding. The model achieves industry leading results in reasoning, math and instruction following and provides similar performance as 3.1 405B but with significant speed and cost improvements.

Llama 3.3 70B Instruct API Features

Fine-tuning

Docs

Llama 3.3 70B Instruct can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model

On-demand Deployment

Docs

On-demand deployments allow you to use Llama 3.3 70B Instruct on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

Llama 3.3 70B Instruct FAQs

What is Llama 3.3 70B Instruct and who developed it?

Llama 3.3 70B Instruct is a multilingual, instruction-tuned large language model developed by Meta AI. It is the December 2024 update to Llama 3.1 70B, offering improvements in reasoning, tool use, math, code generation, and multilingual capabilities.

What applications and use cases does Llama 3.3 70B Instruct excel at?

The model is optimized for:

  • Conversational AI
  • Code assistance
  • Agentic systems
  • Search and Enterprise RAG
  • Tool use and multilingual dialogue (supports 8 languages)
What is the maximum context length for Llama 3.3 70B Instruct?

Fireworks supports a context length of 131,072 tokens.

What is the usable context window for Llama 3.3 70B Instruct?

The full 131.1K tokens are usable on Fireworks on-demand deployments.

Does Llama 3.3 70B Instruct support quantized formats (4-bit/8-bit)?

Yes. The model supports 4-bit and 8-bit formats.

What are known failure modes of Llama 3.3 70B Instruct?

Meta outlines these limitations:

  • May produce inaccurate, biased, or objectionable content
  • Risk in unsupported languages
  • Tool-calling can pose security risk if not sandboxed
  • Potential for misuse in cyberattack or CBRNE scenarios
  • Requires additional safeguards for production use (e.g., Prompt Guard, Code Shield, Llama Guard 3)
Does Llama 3.3 70B Instruct support function-calling schemas?

No, function calling is not supported for this model.

How many parameters does Llama 3.3 70B Instruct have?

The model has 70.6 billion parameters.

Is fine-tuning supported for Llama 3.3 70B Instruct?

Yes. Fireworks supports LoRA-based fine-tuning for this model.

What rate limits apply on the shared endpoint?

The model is available via serverless at $0.90 per million tokens, and via on-demand deployment with no rate limits.

What license governs commercial use of Llama 3.3 70B Instruct?

The model is distributed under the Llama 3.3 Community License, a custom commercial license from Meta. Full license details are available here.

Metadata

State
Ready
Created on
12/5/2024
Kind
Base model
Provider
Meta

Specification

Calibrated
Yes
Mixture-of-Experts
No
Parameters
77.2B

Supported Functionality

Fine-tuning
Supported
Serverless
Not supported
Context Length
131k tokens
Function Calling
Not supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Not supported