Models › Bielik-v3.0 family

Bielik-11B-v3.0-Instruct

speakleash Apache 2.0 out 12 months ago

11.2B parameters, text in, text out. 1 provider serves it from $0.40 per million input tokens.

Verified 2026-10-25 Rank #633 in LLMs · score 73.3 method v1 Sources 3 Downloads 30d 3.5k · #565 of 619 tracked

Can I run it?6.7GB at INT4Estimatefits a 16 GB cardmethod
What does it cost?$0.40/1M incheapest of 1Public AI2026-10-25
Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?3.5kdownloads, 30 days#565 of 619 we track · below the median+8 likes, downloads −14% this week149 likesHugging Face2026-10-24

Where to run it

Live hosted endpoints, cheapest first, USD per million tokens. Ties break on output price, then provider name.

#Cheapest live rowIn /1MOut /1MContextQuantSeen
1 Public AI $0.40 $0.40 — — Oct 25

All 1 provider →

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

Served by 1 API provider; 20 quantized builds for local use.

  • As a service1Public AI
  • On own hardware20quantized builds
  • Built on106 fine-tunes · 4 adapters · 0 merges
  • In apps5Hugging Face Spaces

Top Spaces running it: agentGreg/czy-bielik-zna-temat ♥ 1

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits a 16 GB card at INT4

About 6.7 GB at INT4, 13 GB at FP8, 27 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 6.7 GB of weights (estimate; KV cache and activations extra)INT46.7 GBFP8: about 13 GB of weights (estimate; KV cache and activations extra)FP813 GBBF16: about 27 GB of weights (estimate; KV cache and activations extra)BF1627 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 6.7 GB of weights (estimate; KV cache and activations extra)INT46.7 GBFP8: about 13 GB of weights (estimate; KV cache and activations extra)FP813 GBBF16: about 27 GB of weights (estimate; KV cache and activations extra)BF1627 GB

Estimate params × bytes per param × 1.2 · how we estimate

What people built on it

30 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

30 derivatives on the Hub, most of them quantized

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

20 quantized (Hugging Face model tree)6 fine-tunes (Hugging Face model tree)4 adapters (Hugging Face model tree)20 quantized6 fine-tunes4 adapters
20 quantized (Hugging Face model tree)6 fine-tunes (Hugging Face model tree)4 adapters (Hugging Face model tree)20 quantized6 fine-tunes4 adapters

All variants →

Reference

Everything else, folded: the full tables, every source.

What the card says

1 cited sentence

Summary generated, cited

This fine-tuned model supports multilingual conversational tasks in languages including Polish, English, and Bulgarian.[1]

  1. “multilingual, pl, en, sq, bel, bs, bg”

Generated 2026-10-07 15:13 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

3 use cases

What it is good at 3 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

17 fields

Listed in LLMs

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesLlamaForCausalLM
Model typellama
Params by dtypeBF16: 11,168,796,672
Size bandL
MoEno
Gatedauto
PapersarXiv:2505.02410, arXiv:2505.02550, arXiv:2402.13228, arXiv:2402.03300, arXiv:2503.20783, arXiv:2409.19256, arXiv:2601.11579
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · LlamaForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · LlamaForCausalLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for Bielik-11B-v3.0-Instruct: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)27 GB · Single high-end GPU (<80 GB)
FP8 (1 byte/param)13 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)6.7 GB · Single GPU (<24 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

All variants

30 variants

Lineage

Fine-tuned from speakleash/Bielik-11B-v3-Base-20250730 (same organization) Family: speakleash/Bielik-v3.0 30 derivatives on the Hub

Base model: speakleash/Bielik-11B-v3-Base-20250730

quantized: 20finetune: 6adapter: 4

Top variants (30 shown, ranked by downloads)

Relation
Quant
Size
30 rows
Variant Relation Quant Params Band License Author Likes Downloads
speakleash/Bielik-11B-v3.0-Instruct-awq quantized awq 11.3B L apache-2.0 speakleash 4 1.5M
speakleash/Bielik-11B-v3.0-Instruct-FP8-Dynamic quantized -FP8 11.2B L apache-2.0 speakleash 7 76k
speakleash/Bielik-11B-v3.0-Instruct-GGUF quantized GGUF — — apache-2.0 speakleash 32 50.6k
bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF quantized GGUF — — — bartowski 5 10.8k
safestack/Bielik-11B-v3.0-Instruct-FP8-Dynamic quantized -FP8 11.2B L apache-2.0 safestack 0 6.6k
speakleash/Bielik-11B-v3.0-Instruct-MLX-8bit quantized MLX 11.2B L apache-2.0 speakleash 3 3.4k
speakleash/Bielik-11B-v3.0-Instruct-MLX-4bit quantized MLX 11.2B L apache-2.0 speakleash 2 3.4k
RomanMichtycz/Bielik-11B-v3-Instruct-Abliterated-Heretic-RP1 quantized GGUF — — apache-2.0 RomanMichtycz 3 1.8k
LibraxisAI/Bielik-11B-v3.0-mlx-q4 quantized mlx 11.2B L apache-2.0 LibraxisAI 1 1.7k
DevQuasar/speakleash.Bielik-11B-v3.0-Instruct-GGUF quantized GGUF — — — DevQuasar 0 1.6k
gepardzik/Bielik-11B-v3.0-Instruct-heretic-MPOA finetune — 11.2B L apache-2.0 gepardzik 2 1.3k
LibraxisAI/Bielik-11B-v3.0-mlx-bf16 finetune mlx 11.2B L apache-2.0 LibraxisAI 0 1.1k
LibraxisAI/Bielik-11B-v3.0-mlx-q5 quantized mlx 11.2B L apache-2.0 LibraxisAI 0 1.1k
norecyc/Bielik-11B-v3.0-Instruct-NVFP4 quantized NVFP4 6.40B M apache-2.0 norecyc 0 1k
LibraxisAI/Bielik-11B-v3.0-mlx-q8 quantized mlx 11.2B L apache-2.0 LibraxisAI 0 922
LibraxisAI/Bielik-11B-v3.0-mlx-mxfp4 quantized mlx 11.2B L apache-2.0 LibraxisAI 0 849
safestack/Bielik-11B-v3.0-Instruct-GGUF quantized GGUF — — apache-2.0 safestack 1 681
altomek/Bielik-11B-v3.0-Instruct-XXL-GGUF quantized GGUF — — apache-2.0 altomek 1 566
jmajkutewicz/Bielik-11B-v3.0-medadapt finetune — 11.2B L other jmajkutewicz 1 540
WMTH-100d2exam/Bielik-11B-v3.0-Instruct-matura-grpo-lora-closed-em adapter — — — apache-2.0 WMTH-100d2exam 0 462
directtt/Bielik-11B-v3.0-Instruct-Marych-FT finetune — — — apache-2.0 directtt 0 443
futurist-ai/Bielik-11B-v3.0-Instruct-MLX-4bit quantized MLX 11.2B L apache-2.0 futurist-ai 1 298
14ai/Polando-HUGE-9B-GGUF quantized GGUF — — apache-2.0 14ai 1 104
directtt/Bielik-11B-v3.0-Instruct-Marych-FT-v2 finetune — — — apache-2.0 directtt 0 135
Sticzu/bielik-nonsensik-v2 adapter GGUF — — cc-by-nc-sa-4.0 Sticzu 0 128
erybie222/bielik-supervised-fine-tuning-2026-08-29_10.11.34 finetune — — — — erybie222 2 0
WMTH-100d2exam/Bielik-11B-v3.0-Instruct-matura-sft-lora-distill-epod adapter — — — apache-2.0 WMTH-100d2exam 0 28
jermalk/Bielik-11B-v3.0-Instruct-int4-ov quantized int4 — — apache-2.0 jermalk 0 27
WMTH-100d2exam/Bielik-11B-v3.0-Instruct-matura-sft-grpo-lora-closed-em adapter — — — apache-2.0 WMTH-100d2exam 0 22
jermalk/Bielik-11B-v3.0-Instruct-int8-ov quantized int8 — — apache-2.0 jermalk 0 22

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for Bielik-11B-v3.0-Instruct, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting. Cheapest observed input price: $0.40/M.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
Public AI
hf
speakleash/Bielik-11B-v3.0-Instruct — — $0.40 $0.40 51.1 1723 ms yes live 2026-10-25

Papers

7 papers

Papers 7

arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).

Similar models

3 models

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:41 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:13 UTC · Last verified 2026-10-25

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