Bielik-11B-v3.0-Instruct-awq
This repo contains AWQ format model files for SpeakLeash's Bielik-11B-v3.0-Instruct.
Params
11.3 B
Context
32,768
Downloads 30d
259 K
Likes
3
Download history
daily snapshots · 10 days368 K259 K
Jul 28Jul 31Aug 3Aug 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 | i32 | 6.2 GB | 9.0 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 6.2 GB | 14.1 GB | ✅ Runs comfortably |
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/bielik-11b-v3-0-instruct-awq
{
"hf_id": "speakleash/Bielik-11B-v3.0-Instruct-awq",
"params_b": 11.34,
"context_length": 32768,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 258924,
"vram_estimates": [
{ "quant": "i32", "gb": 9.0 }
],
"updated_at": "2026-07-28T18:06:04Z"
}
Specifications
- Architecture
- LlamaForCausalLM
- Parameters
- 11.3 B
- Tensor type
- I32
- Context length
- 32,768
- Vocabulary
- 32,128
- Layers / heads
- 50 / 32
- Licence
- apache-2.0
- First seen on the Hub
- 2025-12-31
- Base model
- Bielik-11B-v3.0-Instruct
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
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