granite-4.1-30b
Model Summary: Granite-4.1-30B is a 30B parameter long-context instruct model finetuned from Granite-4.1-30B-Base using a combination of open source instruction datasets with permissive license and internally collected synthetic datasets. Granite 4.1 models have gone through an improved post-training pipeline, including supervised finetuning and reinforcement learning alignment, resulting in enhanced tool calling, in...
Params
28.9 B
Context
131,072
Downloads 30d
702 K
Likes
146
Download history
daily snapshots · 23 days702 K177 K
Aug 29Sep 5Sep 13Sep 20
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 | 57.7 GB | 68.3 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 128K ctx | 57.7 GB | 133.3 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/granite-4-1-30b
{
"hf_id": "ibm-granite/granite-4.1-30b",
"params_b": 28.87,
"context_length": 131072,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 701510,
"vram_estimates": [
{ "quant": "bf16", "gb": 68.3 }
],
"updated_at": "2026-08-29T01:00:21Z"
}
Specifications
- Architecture
- GraniteForCausalLM
- Parameters
- 28.9 B
- Tensor type
- BF16
- Context length
- 131,072
- Vocabulary
- 100,352
- Layers / heads
- 64 / 32
- Licence
- apache-2.0
- First seen on the Hub
- 2026-04-06
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-29
Compare with any text-generation model