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VNGRS
Kumru 7B
otherReleased Apr 10, 2025
Turkish large language model developed by VNGRS, pre-trained from scratch on 500 GB of Turkish corpora (300B tokens). Decoder-only architecture with a custom tokenizer optimized for Turkish, supporting code, math, and chat. Outperforms significantly larger multilingual models on the Cetvel Turkish benchmark. Available for on-premise enterprise deployment.
ChatText completionCode generationtext · code
Available from 2 providers
Cheapest
Featherless
Free / Free
Featherless, Hugging Face Inference
Providers (2)
Sorted by total cost (input + output per 1M tokens). Select a row to view provider details.
| Provider | Pricing (per 1M) | Rate limits | Regions | Health | Latency |
|---|---|---|---|---|---|
| In: FreeOut: Free | 60 RPM / 300K TPM | global | Healthy | 0ms |
| In: FreeOut: Free | 60 RPM / 300K TPM | us-east-1eu-west-1 | Healthy | 0ms |
Quick start
Use this model via Featherless with an OpenAI-compatible SDK.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.featherless.com/v1",
apiKey: process.env.FEATHERLESS_API_KEY,
});
const response = await client.chat.completions.create({
model: "vngrs-ai/Kumru-7B",
messages: [
{ role: "user", content: "Hello!" }
],
});
console.log(response.choices[0].message.content);Using Featherless API · OpenAI-compatible SDK