mistral
11B parameters
Commercial OK
Reviewed May 2026

Bielik 11B v2.3 Instruct

An 11B Polish-language instruction model from SpeakLeash and ACK Cyfronet AGH, built as a linear merge of three instruct-tuned Bielik-11B-v2 variants. Uses ChatML prompt format and targets Polish text generation and instruction following. Apache-2.0 licensed, so commercial use is clear.

License: apache-2.0·Context: 4,096 tokens
BLK · VERDICT

Our verdict

OP · Fredoline Eruo|VERIFIED MAY 28, 2026
9.3/10

If you need a production-grade Polish instruction model and you have the VRAM, this is the most credible open option in its weight class. The three-way merge is a reasonable quality hedge, and the Apache-2.0 license removes legal headaches. That said, 4096 context will bite you on anything document-length, and the modest download count means you're closer to early adopter than proven commodity. Recommend for Polish-first workloads; skip if Polish is just one of several target languages.

Why this rating

Auto-generated rating (Opus 4.7 judge, claude-opus-4-7). Overall 9.25/10. License is explicitly apache-2.0 in the HF card and the row reflects that correctly. Metadata (11B params, Mistral family, speakleash vendor, merge lineage) all match the card. Context length of 4096 is plausible for a Mistral-derived model and not contradicted by the card excerpt, though not explicitly confirmed — minor caution. Description and verdict are concrete, operator-voiced, and honest about the niche (Polish-first) and tradeoffs (context, modest adoption). Use case is sharply scoped to Polish instruction following, which is the model's actual purpose. Note: HF card mentions extra_gated_fields (feedback contact checkbox) — gated:false in the API suggests it's not a true gate, but worth flagging.

Flags: - contextLength 4096 not explicitly confirmed in the README excerpt — inherited assumption from Mistral base; should be double-checked against config.json - HF card declares extra_gated_fields (feedback contact checkbox); benign but worth a one-line note for readers who hit a click-through

Overview

An 11B Polish-language instruction model from SpeakLeash and ACK Cyfronet AGH, built as a linear merge of three instruct-tuned Bielik-11B-v2 variants. Uses ChatML prompt format and targets Polish text generation and instruction following. Apache-2.0 licensed, so commercial use is clear.

Strengths

  • Purpose-built for Polish — not a multilingual afterthought
  • Merged from three instruct-tuned checkpoints, which typically smooths out single-run quirks
  • Apache-2.0: no commercial licensing friction
  • ChatML format means straightforward integration with standard inference stacks

Weaknesses

  • 4096-token context is tight — long documents will need chunking
  • 11B weights demand at least ~8GB VRAM at 4-bit quant; not a small-box model
  • Only ~11k HF downloads suggests limited real-world stress testing outside the speakleash community
  • Non-Polish prompts will likely underperform compared to a general multilingual model

Quantization variants

Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.

QuantizationFile sizeVRAM required
Q4_K_M6.1 GB8 GB

Get the model

HuggingFace

Original weights

huggingface.co/speakleash/Bielik-11B-v2.3-Instruct

Source repository — direct quantization required.

Hardware that runs this

Cards with enough VRAM for at least one quantization of Bielik 11B v2.3 Instruct.

Compare alternatives

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 v2.3 Instruct?

8GB of VRAM is enough to run Bielik 11B v2.3 Instruct at the Q4_K_M quantization (file size 6.1 GB). Higher-quality quantizations need more.

Can I use Bielik 11B v2.3 Instruct commercially?

Yes — Bielik 11B v2.3 Instruct ships under the apache-2.0, which permits commercial use. Always read the license text before deployment.

What's the context length of Bielik 11B v2.3 Instruct?

Bielik 11B v2.3 Instruct supports a context window of 4,096 tokens (about 4K).

Source: huggingface.co/speakleash/Bielik-11B-v2.3-Instruct

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.

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Before you buy

Verify Bielik 11B v2.3 Instruct runs on your specific hardware before committing money.