Hy-MT2-30B-A3B
🖥️ Official Website 💬 GitHub 🪡 AngelSlim 📚 Hy-MT2 Report
Params
30.1 B
Context
262,144
Downloads 30d
95 K
Likes
485
Download history
daily snapshots · 106 days
▲ 0 in the last 30 days (0.0%)
95 K95 K
Oct 12Oct 22Nov 1Nov 10
95 K95 K
Aug 13Sep 12Oct 12Nov 10
187 K95 K
Jul 28Sep 1Oct 6Nov 10
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 | 60.1 GB | 71.2 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 256K ctx | 60.1 GB | 210.9 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-11-10$0.074
input / 1M
$0.30
output / 1M
—
cached input / 1M
$0.37
1M in + 1M out
- Context window
- 8,192 tokens
- Max output
- 4,096 tokens
- Providers
- 1
- Cheapest provider
- Tencent · $0.074 / $0.30
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / — / —
✗ Tool calling
✗ Reasoning
✓ Structured outputs
✗ Image input
✗ File input
✗ Audio input
✗ Prompt caching
Specifications
- Architecture
- HYV3ForCausalLM
- Parameters
- 30.1 B
- Tensor type
- BF16
- Context length
- 262,144
- Vocabulary
- 120,832
- Layers / heads
- 48 / 32
- Licence
- apache-2.0
- First seen on the Hub
- 2026-05-11
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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