What are the hardware requirements for Bielik 11B V2.2 Instruct GPTQ?

Bielik 11B V2.2 Instruct GPTQ requires approximately 6.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Bielik 11B V2.2 Instruct GPTQ and how large is it?

Bielik 11B V2.2 Instruct GPTQ is developed by speakleash, a model with 11b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Bielik 11B V2.2 Instruct GPTQ?

Bielik 11B V2.2 Instruct GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Bielik 11B V2.2 Instruct GPTQ by speakleash — VRAM 6.2GB, 32K context

Name: Bielik 11B V2.2 Instruct GPTQ
Author: speakleash

Bielik 11B V2.2 Instruct GPTQ is an open-source language model by speakleash. Features: 11b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

4-bit Base model:quantized:speakleas... Base model:speakleash/bielik-1... Conversational Finetuned Gguf Gptq Instruct Mistral Pl Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/speakleash/Bielik-11B-v2.2-Instruct-GPTQ

Bielik 11B V2.2 Instruct GPTQ Parameters and Internals

Model Type

causal, decoder-only

Additional Notes

Be aware that quantised models show reduced response quality and possible hallucinations!

Supported Languages

Polish (Native)

LLM Name	Bielik 11B V2.2 Instruct GPTQ
Repository 🤗	https://huggingface.co/speakleash/Bielik-11B-v2.2-Instruct-GPTQ
Base Model(s)	speakleash/Bielik-11B-v2.2-Instruct speakleash/Bielik-11B-v2.2-Instruct
Model Size	11b
Required VRAM	6.2 GB
Updated	2026-08-05
Maintainer	speakleash
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2
Supported Languages	pl
GGUF Quantization	Yes
GPTQ Quantization	Yes
Quantization Type	gguf\|gptq
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.4
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32128
Torch Data Type	float16

Rank the Bielik 11B V2.2 Instruct GPTQ capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Bielik 11B V2.2 Instruct GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
... 11B V2.2 Instruct EXL2 4.5bit	32K / 6.5 GB	391	3
...B V2.2 Instruct HQQ 8bit 128gs	32K / 11.7 GB	48	3
...B V2.2 Instruct HQQ 4bit 128gs	32K / 6.2 GB	43	3
... 11B V2.2 Instruct Quanto 8bit	32K / 12 GB	209	4
Bielik 11B V2.2 Instruct W8A8	32K / 11.5 GB	172	3
Bielik 11B V2.2 Instruct AWQ	32K / 6.2 GB	85	3
Bielik 11B V2.2 Instruct FP8	32K / 11.4 GB	53	3
...elik V2.3 Instruct MedIT Merge	32K / 22.3 GB	1592	2
...elik V2.3 Instruct Llama Prune	32K / 15.4 GB	1387	0
Mistral 11B Instruct V0.1	32K / 42.9 GB	169	2

Note: green Score (e.g. "73.2") means that the model is better than speakleash/Bielik-11B-v2.2-Instruct-GPTQ.