Overview
Reka Flash is a 21B parameter dense model that punches well above its weight class, often outperforming much larger models like Llama 2 70B and Gemini Pro. It achieves impressive scores on benchmarks like MMLU, GSM8K, and HumanEval despite its relatively small size. Flash also demonstrates strong multimodal capabilities, performing competitively on visual question answering tasks. In human evaluations, it ranks highly for multimodal chat. Flash is an excellent choice for developers who need near-frontier model performance but have more limited computational resources. Its combination of strong language understanding, reasoning, and multimodal abilities in a smaller package makes it well-suited for a wide range of applications where balancing capability and efficiency is important.
Specializations
Exceptional performance for its size (21B parameters.
Strong multimodal abilities, especially in visual question answering.
Outperforms many larger models on standard benchmarks.
Efficient balance of capability and computational requirements.
Excels in coding tasks (e.g., high HumanEval scores).
Competitive performance in multilingual tasks.
Strong in video understanding tasks.
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-flash',
});
console.log(chatCompletion.choices);
Live API Statistics and Performace Metrics
LMSys Arena Elo Score:
1200
Arena Score
LMSys Leaderboard Rank:
36
Arena Rank
Evaluates LLMs through a combination of user feedback and automated scoring systems.
Model Specifications
Release Date:
15/4/2024
Max. Context Tokens:
128K
Model Size
21B
Knowledge Cut-Off Date:
November 2023
MMLU:
75.9
%
License:
Proprietary
Technical Report/Model Card:
LMSys Elo Score
1200
Pricing
$/Million Input Tokens
$
0.2
$/Million Output Tokens
$
0.8
Live updates via Portkey Pricing API. Coming Soon...
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