What are the hardware requirements for Falcon2 5.5B Czech?

Falcon2 5.5B Czech requires approximately 10.9 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Falcon2 5.5B Czech and how large is it?

Falcon2 5.5B Czech is developed by ssmits, 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 Falcon2 5.5B Czech?

Falcon2 5.5B Czech is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Falcon2 5.5B Czech by ssmits — VRAM 10.9GB, 8K context

Name: Falcon2 5.5B Czech
Author: ssmits

Falcon2 5.5B Czech is an open-source language model by ssmits. Features: 11b LLM, VRAM: 10.9GB, Context: 8K, License: apache-2.0, Merged, LLM Explorer Score: 0.12.

Merged Model Base model:finetune:tiiuae/fal... Base model:tiiuae/falcon-11b Conversational Cs Custom code Endpoints compatible Falcon Region:us Safetensors Sharded Tensorflow Tiiuae/falcon-11b

Model Card on HF 🤗: https://huggingface.co/ssmits/Falcon2-5.5B-Czech

Falcon2 5.5B Czech Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research

Applications:

text generation, summarization, chatbot

Limitations:

Does not generalize well to languages other than those it was trained on

Considerations:

Finetuning is recommended for specific tasks.

Additional Notes

Prune 50% of the layers based on layer similarity analysis for reduced size.

Supported Languages

en (mostly trained), de (also trained), es (also trained), fr (also trained), it (also trained), pt (also trained), pl (also trained), nl (also trained), ro (also trained), cs (also trained), sv (also trained)

Training Details

Data Volume:

5T tokens

Methodology:

pruning and passthrough merging

Model Architecture:

Falcon LLMs require PyTorch 2.0 for use with transformers

Responsible Ai Considerations

Mitigation Strategies:

Guardrails and precautions are recommended for any production use.

Input Output

Input Format:

text input

Accepted Modalities:

text

Output Format:

text generation

Performance Tips:

Utilize PyTorch 2.0 for efficient inference.

LLM Name	Falcon2 5.5B Czech
Repository 🤗	https://huggingface.co/ssmits/Falcon2-5.5B-Czech
Base Model(s)	Falcon 11B tiiuae/falcon-11B
Merged Model	Yes
Model Size	11b
Required VRAM	10.9 GB
Updated	2026-08-04
Maintainer	ssmits
Model Type	falcon
Model Files	0.9 GB: 1-of-12 1.0 GB: 2-of-12 0.9 GB: 3-of-12 0.9 GB: 4-of-12 1.0 GB: 5-of-12 0.9 GB: 6-of-12 0.9 GB: 7-of-12 1.0 GB: 8-of-12 0.9 GB: 9-of-12 0.9 GB: 10-of-12 1.0 GB: 11-of-12 0.6 GB: 12-of-12
Supported Languages	cs
Model Architecture	FalconForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.2
Is Biased	0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	65024
Torch Data Type	bfloat16

Rank the Falcon2 5.5B Czech 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 Falcon2 5.5B Czech

Best Alternatives	Context / RAM	Downloads	Likes
Falcon 11B	8K / 22.1 GB	4914	219
Falcon2 5.5B Multilingual	8K / 10.9 GB	23	3
Falcon2 5.5B Polish	8K / 10.9 GB	1633	1
Falcon2 11B	8K / 6.6 GB	6	0
Enron Falcon 11B	8K / 7.6 GB	14	1
Falcon2 5.5B Spanish	8K / 10.9 GB	10	0
Falcon2 5.5B Romanian	8K / 10.9 GB	5	2
Falcon2 5.5B Swedish	8K / 10.9 GB	11	0
Falcon2 5.5B Norwegian	8K / 10.9 GB	6	1
Falcon2 5.5B Portuguese	8K / 10.9 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than ssmits/Falcon2-5.5B-Czech.