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
Download history
daily snapshots · 7 days300 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.
| File | Quant | Size | Est. VRAM | Verdict 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 -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"
}
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
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