t-tech / text-generation updated 7 months ago

T-lite-it-2.1

🚨 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.

Params
8.2 B
Context
40,960
Downloads 30d
300 K
Likes
23
Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 7 days
300 K167 K
Jul 31Aug 2Aug 4Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors bf16 16.4 GB 19.7 GB ⚠️ Tight — reduce context
model.safetensors (bf16, full) bf16 + 40K ctx 16.4 GB 24.7 GB ❌ Won’t fit
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub
~ · curl · api/v1
$ curl -s https://aimodelscomparison.com/api/v1/models/t-lite-it-2-1
{
  "hf_id": "t-tech/T-lite-it-2.1",
  "params_b": 8.19,
  "context_length": 40960,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 300287,
  "vram_estimates": [
    { "quant": "bf16", "gb": 19.7 }
  ],
  "updated_at": "2026-07-31T01:00:34Z"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture
Qwen3ForCausalLM
Parameters
8.2 B
Tensor type
BF16
Context length
40,960
Vocabulary
151,689
Layers / heads
36 / 32
Licence
apache-2.0
First seen on the Hub
2025-12-22
Base model
Qwen3-8B
Training datasets
undisclosed
Added to our catalog
2026-07-31

Family

Base model and the most-downloaded derivatives in the catalog.