Dragoman by lang-uk

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  Adapter Base model:adapter:mistralai/m... Base model:mistralai/mistral-7... Dataset:helsinki-nlp/opus para...   Dataset:turuta/multi30k-uk   En   Finetuned   Ggml   Lora   Model-index   Peft   Quantized   Region:us   Safetensors   Translation   Uk
Model Card on HF ๐Ÿค—: https://huggingface.co/lang-uk/dragoman 

Dragoman Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dragoman (lang-uk/dragoman)

Dragoman Parameters and Internals

Model Type 
Translation model
Use Cases 
Primary Use Cases:
Sentence-level English -> Ukrainian translation
Limitations:
Performance on multi-sentence texts is not guaranteed.
Supported Languages 
Source Language (English), Target Language (Ukrainian)
Training Details 
Data Sources:
Helsinki-NLP/opus_paracrawl, turuta/Multi30k-uk
Data Volume:
3M pairs of Ukrainian and English sentences + 17K examples for higher quality
Methodology:
Supervised finetuning with noisy parallel dataset followed by k-fold perplexity filtering.
LLM NameDragoman
Repository ๐Ÿค—https://huggingface.co/lang-uk/dragoman 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM2.7 GB
Updated2025-02-22
Maintainerlang-uk
Model Files  3.2 GB   2.7 GB
Supported Languagesuk en
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|q_proj|v_proj|gate_proj|o_proj|lm_head|down_proj|k_proj
LoRA Alpha128
LoRA Dropout0.05
R Param256

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Gemma7b SFT0K / 0 GB200
Gemma7b SFT0K / 0 GB190
RP Format Test0K / 0.7 GB04
Note: green Score (e.g. "73.2") means that the model is better than lang-uk/dragoman.

Rank the Dragoman Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227