T-lite-it-2.1-int8-ov

T-lite-it-2.1-int8-ov

OpenVINO INT8 quantized version of t-tech/T-lite-it-2.1.

📥 Quick Start - Download & Run

1. Install HF CLI:

pip install -U huggingface_hub["cli"]

2. Download model:

hf download savvadesogle/T-lite-it-2.1-int8-ov --local-dir ./T-lite-it-2.1-int8-ov

🔧 Quantization Parameters

Weight compression was performed using optimum-cli export openvino with the following parameters:

optimum-cli export openvino ^
  --model ./T-lite-it-2.1 ^
  --task text-generation-with-past ^
  --weight-format int8 ^
  ./T-lite-it-2.1-int8-ov

✅ Compatibility

The provided OpenVINO IR model is compatible with:

• OpenVINO version 2026.0.0.dev20260102
• Optimum 2.1.0.dev0
• Optimum Intel 1.27.0.dev0+25fcb63
• NNCF 3.0.0.dev0+999c5e91
• OpenArc

🎯 Running with OpenArc

OpenArc — OpenAI-compatible inference server for OpenVINO models.

Terminal 1 — Start server:

set OPENARC_API_KEY=BIG_KEY
openarc serve start --host 127.0.0.1

Terminal 2 — Add model:

set OPENARC_API_KEY=BIG_KEY
openarc add --model-name T-lite-it-2.1 --model-path ./T-lite-it-2.1-int8-ov --engine ovgenai --model-type llm --device GPU


openarc load T-lite-it-2.1

openarc bench T-lite-it-2.1

Connect via OpenAI API:

http://127.0.0.1:8000/v1/chat/completions

🌐 OpenAI API Example (Windows CMD)

curl http://127.0.0.1:8000/v1/chat/completions ^
  -H "Content-Type: application/json" ^
  -H "Authorization: Bearer 234" ^
  -d "{\"model\":\"T-lite-it-2.1-int8-ov\",\"messages\":[{\"role\":\"user\",\"content\":\"Расскажи анекдот\"}],\"temperature\":0.7,\"max_tokens\":128}"

📊 Performance Metrics

openarc bench T-lite-it-2.1-int8-ov

2026-01-04 01:54:24,140 - INFO - [T-lite-it-2.1-int8-ov LLM Worker] Metrics: {'load_time (s)': 24.9, 'ttft (s)': 0.09, 'tpot (ms)': 33.26695, 'prefill_throughput (tokens/s)': 5889.65, 'decode_throughput (tokens/s)': 30.05987, 'decode_duration (s)': 4.31193, 'input_token': 512, 'new_token': 128, 'total_token': 640, 'stream': False}
2026-01-04 01:54:24,140 - INFO - [bench] model=T-lite-it-2.1-int8-ov input_ids_len=512 metrics={'load_time (s)': 24.9, 'ttft (s)': 0.09, 'tpot (ms)': 33.26695, 'prefill_throughput (tokens/s)': 5889.65, 'decode_throughput (tokens/s)': 30.05987, 'decode_duration (s)': 4.31193, 'input_token': 512, 'new_token': 128, 'total_token': 640, 'stream': False}

⚠️ Limitations

Check the original model card for limitations.

📄 Legal information

Distributed under the same license as the original model.