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Qwen2 7B Instruct

Ready
model path:accounts/fireworks/models/qwen2-7b-instruct
Deploy on demand

Qwen2 7B Instruct is a 7-billion-parameter instruction-tuned language model developed by the Qwen team. Optimized for following instructions, it excels at tasks like question answering, dialogue generation, and summarization. The model is designed to provide accurate and contextually appropriate responses, making it suitable for a wide range of natural language processing applications.

Qwen2 7B Instruct API Features

On-demand Deployment

Docs

On-demand deployments allow you to use Qwen2 7B Instruct on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

Metadata

State
Ready
Created on
6 JUN, 2024
Kind
Base model
Provider
Qwen
Huggingface
Qwen/Qwen2-7B-Instruct

Specifications

Calibrated
No
Mixture-of-Experts
No
Parameters
7.61B

Supporting Functionality

Fine-tuning
Not 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 7B Instruct FAQs

Qwen2 7B Instruct is an instruction-tuned language model developed by Qwen, a team at Alibaba Cloud. It is based on the Qwen2 architecture and optimized for general-purpose tasks such as question answering, summarization, dialogue generation, and reasoning.