Overview
Reka Edge is a compact yet powerful 7B parameter model that sets a new state-of-the-art for its size class. It consistently outperforms other leading 7B models like Llama 2, Mistral, and Gemma across a range of benchmarks including MMLU, GSM8K, and HumanEval. Edge also shows strong performance on multilingual tasks. Despite its small size, it approaches the capabilities of much larger models on many tasks. Edge is an ideal choice for developers who need to deploy capable language models in resource-constrained environments or edge devices. Its combination of small size and strong performance makes it well-suited for applications requiring local deployment, low latency, or operation on limited hardware while still maintaining high-quality language understanding and generation.
Specializations
State-of-the-art performance in the 7B parameter class.
Excels in efficient deployment scenarios.
Strong multilingual capabilities despite compact size.
Impressive performance on reasoning and coding tasks for its scale.
Suitable for edge computing and resource-constrained environments.
Approaches capabilities of much larger models on many tasks.
Balances model size with high-quality language understanding and generation.
Integration Guide (Javascript)
To use this model through Portkey, follow these steps:
1. Install Portkey SDK:
npm install --save portkey-ai
2. Set up client with Portkey:
// Import and initialize Portkey
import Portkey from 'portkey-ai'
const portkey = new Portkey({
apiKey: "PORTKEY_API_KEY", // Replace with your Portkey API key
virtualKey: "VIRTUAL_KEY" // Your Reka AI Virtual Key created in Portkey
})
3. Make a request:
const chatCompletion = await portkey.chat.completions.create({
messages: [{ role: 'user', content: 'Say this is a test' }],
model: 'reka-edge',
});
console.log(chatCompletion.choices);
Model Specifications
Release Date:
15/4/2024
Max. Context Tokens:
64K
Model Size
7B
Knowledge Cut-Off Date:
November 2023
MMLU:
65.7
%
License:
Proprietary
Technical Report/Model Card:
Pricing
$/Million Input Tokens
$
0.1
$/Million Output Tokens
$
0.1
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