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Qwen2.5 7B Instruct

Ready

Qwen2.5 are a series of decoder-only language models developed by Qwen team, Alibaba Cloud, available in 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B sizes, and base and instruct variants.

Qwen2.5 7B Instruct API Features

Fine-tuning

Docs

Qwen2.5 7B Instruct 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 give you dedicated GPUs for Qwen2.5 7B Instruct using Fireworks' reliable, high-performance system with no rate limits.

Metadata

State
Ready
Created on
2 OCT, 2024
Kind
Base model
Provider
Qwen

Specifications

Calibrated
Yes
Mixture-of-Experts
No
Parameters
7.61B

Supporting Functionality

Fine-tuning
Supported
Serverless
Not Supported
Context Length
32.7k tokens
Function Calling
Not Supported
Embeddings
Not Supported
Rerankers
Not Supported
Supporting image input
Not Supported

Qwen2.5 72B Instruct FAQs

Qwen2.5-72B Instruct is a 72.7B parameter instruction-tuned language model developed by Qwen, a team under Alibaba Cloud. It is part of the Qwen2.5 series, which improves on Qwen2 by enhancing instruction following, structured data understanding, code and math reasoning, and long-text generation.