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Model Library
/Deepseek/DeepSeek Coder 7B Instruct v1.5
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DeepSeek Coder 7B Instruct v1.5

Ready
model path:accounts/fireworks/models/deepseek-coder-7b-instruct-v1p5

Deepseek-Coder-7B-Instruct-v1.5 is pre-trained from Deepseek-LLM 7B on 2T tokens by employing a window size of 4K and next token prediction objective, and then fine-tuned on 2B tokens of instruction data.

DeepSeek Coder 7B Instruct v1.5 API Features

Fine-tuning

Docs

DeepSeek Coder 7B Instruct v1.5 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 Coder 7B Instruct v1.5 on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

Metadata

State
Ready
Created on
2/27/2024
Kind
Base model
Provider
Deepseek

Specification

Calibrated
No
Mixture-of-Experts
No
Parameters
6.91B

Supported Functionality

Fine-tuning
Supported
Serverless
Not supported
Context Length
4.09k tokens
Function Calling
Not supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Not supported