Uzbek LLM Lab's 8B parameter instruction-tuned model optimized for the Uzbek language. Built on Llama architecture with a custom tokenizer averaging 1.7 tokens per Uzbek word versus 3.5 in original Llama, enabling 2x faster inference. Trained on 3.6B tokens with 4096 context length.
4K tokens
1
Disponible
Más económico
Hugging Face Inference
$0.20/1M tokens
Hugging Face Inference
Ordenados por coste total (entrada y salida por 1 millón de tokens). Selecciona una fila para ver los detalles del proveedor.
| Proveedor | Precio (por 1 M) | Límites | Regiones | Estado | Latencia |
|---|---|---|---|---|---|
Entrada: $0.10Salida: $0.10 | 60 RPM / 200K TPM | us-east-1 | Operativo | 0ms |
Usa este modelo mediante Hugging Face Inference con un SDK compatible con OpenAI.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.hugging-face.com/v1",
apiKey: process.env.HUGGING_FACE_API_KEY,
});
const response = await client.chat.completions.create({
model: "uzlm/alloma-8B-Instruct",
messages: [
{ role: "user", content: "Hello!" }
],
});
console.log(response.choices[0].message.content);API de Hugging Face Inference · SDK compatible con OpenAI