Bielik 11B v3.0 Instruct GGUF
Bielik 11B v3.0 is SpeakLeash's instruction-tuned model built around Polish, with coverage across 32 European languages. It runs at 11B parameters with a 32K context window and ships as GGUF quants for local inference. Apache 2.0 licensed, so commercial use is clear.
If Polish is your target language, Bielik 11B v3.0 is the most credible open-weight option at this size. The 32K context and commercial license make it practical for real deployments. That said, the thin download and likes numbers mean you're somewhat in early-adopter territory — budget time for your own eval before shipping. Skip if your workload is majority non-Polish; there are better multilingual options at 11B.
›Why this rating
Auto-generated rating (Opus 4.7 judge, claude-opus-4-7). Overall 9.25/10. License is explicit apache-2.0 on the card and correctly flagged commercial-ok. Metadata aligns with the base model (11B, GGUF repo, Polish-first multilingual). Description is honest and operator-voiced, with concrete VRAM math and a candid note on low download traction. Use case is sharp (Polish instruction following / doc Q&A) and weaknesses surface real deployment traps. Family is tagged 'llama' which is plausible given the Llama-style chat template in the Modfile, though not explicitly confirmed in the excerpt — minor concern but not disqualifying.
Flags: - Family='llama' inferred from chat template but not explicitly stated in card excerpt; worth double-checking base model architecture - Context length 32768 not confirmed in the visible excerpt — assumed from base model
Overview
Bielik 11B v3.0 is SpeakLeash's instruction-tuned model built around Polish, with coverage across 32 European languages. It runs at 11B parameters with a 32K context window and ships as GGUF quants for local inference. Apache 2.0 licensed, so commercial use is clear.
Strengths
- Best-in-class Polish instruction following at this parameter count
- 32K context window — handles long documents and multi-turn chats
- Apache 2.0: commercial use permitted without restrictions
- GGUF quants available — runs on consumer hardware depending on quantization level
Weaknesses
- Polish is the primary target; other supported languages likely see a quality drop
- Aggressive quantization (Q4 and below) will hurt coherence on complex tasks
- 11B at full precision needs ~22 GB VRAM — Q4/Q5 quants are the realistic path for most users
- Low community traction (5.5k downloads, 19 likes) — limited real-world feedback available
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 6.1 GB | 8 GB |
Get the model
HuggingFace
Original weights
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of Bielik 11B v3.0 Instruct GGUF.
Models worth comparing
Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.
Frequently asked
What's the minimum VRAM to run Bielik 11B v3.0 Instruct GGUF?
Can I use Bielik 11B v3.0 Instruct GGUF commercially?
What's the context length of Bielik 11B v3.0 Instruct GGUF?
Source: huggingface.co/speakleash/Bielik-11B-v3.0-Instruct-GGUF
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify Bielik 11B v3.0 Instruct GGUF runs on your specific hardware before committing money.