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Llama 3.1 8B Instruct

Ready
model path:accounts/fireworks/models/llama-v3p1-8b-instruct

The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes. The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.

Llama 3.1 8B Instruct API Features

Fine-tuning

Docs

Llama 3.1 8B 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 3.1 8B Instruct on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

Metadata

State
Ready
Created on
23 JUL, 2024
Kind
Base model
Provider
Meta

Specifications

Calibrated
Yes
Mixture-of-Experts
No
Parameters
8.83B

Supporting Functionality

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

Llama 3.1 8B Instruct FAQs

Llama 3.1 8B Instruct is a multilingual, instruction-tuned large language model developed by Meta. It is part of the Llama 3.1 family, which includes models at 8B, 70B, and 405B parameter scales. The 8B Instruct variant is optimized for assistant-style chat and dialogue use cases across multiple languages.