Kimi K3 on Fireworks: Frontier Intelligence You Can Own

Model Library
/Deepseek/DeepSeek V3
model path:accounts/fireworks/models/deepseek-v3

A a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token from Deepseek. Note that fine-tuning for this model is only available through contacting fireworks at https://fireworks.ai/company/contact-us.

DeepSeek V3 API Features

Fine-tuning

Docs

DeepSeek V3 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 DeepSeek V3 on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

DeepSeek V3 FAQs

Metadata

State
Ready
Created on
12/30/2024
Kind
Base model
Provider
Deepseek

Specification

Calibrated
Yes
Mixture-of-Experts
Yes
Parameters
671B

Supported Functionality

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