Ling-3.0-tiny
🤗 Hugging Face 🤖 ModelScope 🐙 OpenRouter
Params
7.9 B
Context
131,072
Downloads 30d
14 K
Likes
576
Download history
tracking started — chart appears after 7 days of snapshots (4 recorded)14 K downloads in the last 30 days
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 | 15.8 GB | 19.1 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 128K ctx | 15.8 GB | 36.8 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/ling-3-0-tiny
{
"hf_id": "inclusionAI/Ling-3.0-tiny",
"params_b": 7.89,
"context_length": 131072,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 14221,
"vram_estimates": [
{ "quant": "bf16", "gb": 19.1 }
],
"updated_at": "2026-11-06T06:00:05Z"
}
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-11-10$0.015
input / 1M
$0.045
output / 1M
$0.003
cached input / 1M
$0.06
1M in + 1M out
- Context window
- 262,144 tokens
- Max output
- 250,000 tokens
- Providers
- 1
- Cheapest provider
- Ant Digital · $0.015 / $0.045
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / 26.5 / 4.4
✓ Tool calling
✓ Reasoning
✓ Structured outputs
✗ Image input
✗ File input
✗ Audio input
✓ Prompt caching
Specifications
- Architecture
- BailingMoeV3ForCausalLM
- Parameters
- 7.9 B
- Tensor type
- BF16
- Context length
- 131,072
- Vocabulary
- 157,184
- Layers / heads
- 24 / 16
- Licence
- mit
- First seen on the Hub
- 2026-08-10
- Training datasets
- undisclosed
- Added to our catalog
- 2026-11-07
Compare with any text-generation model