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Csmpt7b by BUT-FIT

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Csmpt7b is an open-source language model by BUT-FIT. Features: 6.7b LLM, VRAM: 26.7GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

  Arxiv:2304.09871   Arxiv:2412.17933   Cs   Custom code Dataset:but-fit/adult content ...   Dataset:but-fit/but-lcc   Endpoints compatible   Gguf   Gguf-my-repo   Llama-cpp   Mpt   Q8   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/BUT-FIT/csmpt7b 

Csmpt7b Benchmarks

LLME Score: 0.12625
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Csmpt7b (BUT-FIT/csmpt7b)
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Csmpt7b Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Czech language processing
Applications:
academic research, commercial applications
Primary Use Cases:
text generation for Czech language content
Additional Notes 
Vocabulary swap was utilized to enhance transfer of knowledge from English to Czech.
Supported Languages 
Czech (native)
Training Details 
Data Sources:
BUT-FIT/BUT-LCC, BUT-FIT/adult_content_classifier_dataset
Data Volume:
272 billion training tokens, with ~67 billion tokens specific to Czech
Methodology:
Vocabulary swap method aligning English tokens to Czech equivalents
Context Length:
2048
Hardware Used:
Karolina cluster
Model Architecture:
Continuation of MPT7b with adaptations for Czech language
Input Output 
Input Format:
Czech textual prompts
Accepted Modalities:
text
Output Format:
Generated Czech text
Release Notes 
Version:
N/A
Date:
18/04/2024
Notes:
Release of training checkpoints
Version:
N/A
Date:
06/05/2024
Notes:
Release of manually annotated dataset for adult content classification
LLM NameCsmpt7b
Repository 🤗https://huggingface.co/BUT-FIT/csmpt7b 
Model Size6.7b
Required VRAM26.7 GB
Updated2026-04-19
MaintainerBUT-FIT
Model Typempt
Model Files  13.4 GB   26.8 GB   7.1 GB   4.8 GB: 1-of-6   4.8 GB: 2-of-6   4.8 GB: 3-of-6   4.8 GB: 4-of-6   4.8 GB: 5-of-6   2.7 GB: 6-of-6
Supported Languagescs
GGUF QuantizationYes
Quantization Typegguf|q8
Model ArchitectureMPTForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.37.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token[EOS]
Vocabulary Size64002
Torch Data Typefloat32

Rank the Csmpt7b Capabilities

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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  

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