EuroLLM-22B-Instruct-2512
This is the model card for EuroLLM-22B-Instruct. You can also check the pre-trained version: EuroLLM-22B-2515.
Params
22.6 B
Context
32,768
Downloads 30d
257 K
Likes
83
Download history
tracking started — chart appears after 7 days of snapshots (5 recorded)257 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 | 45.3 GB | 53.7 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 45.3 GB | 63.9 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ curl -s https://aimodelscomparison.com/api/v1/models/eurollm-22b-instruct-2512
{
"hf_id": "utter-project/EuroLLM-22B-Instruct-2512",
"params_b": 22.64,
"context_length": 32768,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 257397,
"vram_estimates": [
{ "quant": "bf16", "gb": 53.7 }
],
"updated_at": "2026-09-17T01:00:37Z"
}
Specifications
- Architecture
- LlamaForCausalLM
- Parameters
- 22.6 B
- Tensor type
- BF16
- Context length
- 32,768
- Vocabulary
- 128,000
- Layers / heads
- 54 / 48
- Licence
- apache-2.0
- First seen on the Hub
- 2025-12-05
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-17
Compare with any text-generation model