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DeepSeek V2 Lite Chat

Ready
model path:accounts/fireworks/models/deepseek-v2-lite-chat

DeepSeek-V2, a strong Mixture-of-Experts (MoE) language model characterized by economical training and efficient inference. DeepSeek-V2 adopts innovative architectures including Multi-head Latent Attention (MLA) and DeepSeekMoE. MLA guarantees efficient inference through significantly compressing the Key-Value (KV) cache into a latent vector, while DeepSeekMoE enables training strong models at an economical cost through sparse computation.

DeepSeek V2 Lite Chat API Features

On-demand Deployment

Docs

On-demand deployments allow you to use DeepSeek V2 Lite Chat on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

Metadata

State
Ready
Created on
22 OCT, 2024
Kind
Base model
Provider
Deepseek

Specifications

Calibrated
No
Mixture-of-Experts
Yes
Parameters
15.7B

Supporting Functionality

Fine-tuning
Not Supported
Serverless
Not Supported
Context Length
163k tokens
Function Calling
Not Supported
Embeddings
Not Supported
Rerankers
Not Supported
Supporting image input
Not Supported