🚨 Users are advised to exercise caution and are responsible for any additional training and oversight required to ensure the model’s responses meet acceptable ethical and safety standards. The responsibility for incorporating this model into industrial or commercial solutions lies entirely with those who choose to deploy it. T‑lite‑it‑2.1‑FP8 is a fine‑grained FP8‑quantised version of T‑lite‑it‑2.1 (built on the Qwen‑3 family). It delivers identical capabilities with roughly half the memory footprint and higher inference speed. T-lite-it-2.1 is an efficient Russian model built upon the Qwen 3 architecture, featuring significant improvements in instruction following and adds support for tool-calling capabilities — a key advancement over T-lite-it-1.0, which lacks tool-use support. Outperforms Qwen3-8B in tool calling scenarios, which is essential for agentic applications. Built for both general tasks and complex workflows, with higher Russian text generation throughput enabled by optimized tokenizer. * IFeval metric is mean of 4 values: prompt and instruct levels for strict and loose accuracy. For convenience and performance, we have provided fp8-quantized model checkpoint for…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: t-tech
Теги: qwen3, conversational, ru, compressed-tensors
Лайков: 3 | Загрузок: 662
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
