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/Fireworks/DeepSeek Coder V2 Lite Base
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DeepSeek Coder V2 Lite Base

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

DeepSeek-Coder-V2 is an open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks. Specifically, DeepSeek-Coder-V2 is further pre-trained from an intermediate checkpoint of DeepSeek-V2 with additional 6 trillion tokens. DeepSeek-Coder-V2 expands its support for programming languages from 86 to 338, while extending the context length from 16K to 128K.

DeepSeek Coder V2 Lite Base API Features

On-demand Deployment

Docs

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

Metadata

State
Ready
Created on
7/6/2024
Kind
Base model
Provider
Fireworks

Specification

Calibrated
Yes
Mixture-of-Experts
Yes
Parameters
15.7B

Supported Functionality

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