The right model for every task. Try Nexus
Docs
Log in
Get started
Deepseek logo

DeepSeek V3

Ready
model path:accounts/fireworks/models/deepseek-v3
Deploy on demand

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

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.

Metadata

State
Ready
Created on
30 DEC, 2024
Kind
Base model
Provider
Deepseek
Huggingface
deepseek-ai/DeepSeek-V3

Specifications

Calibrated
Yes
Mixture-of-Experts
Yes
Parameters
671B

Supporting Functionality

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

DeepSeek V3 FAQs

DeepSeek V3 is a Mixture-of-Experts (MoE) large language model developed by DeepSeek AI. It has 671B total parameters, with 37B activated per token during inference. The model uses Multi-head Latent Attention (MLA) and a Multi-Token Prediction (MTP) objective to improve inference speed and training efficiency.