Saiga 30B Lora is an open-source language model by IlyaGusev. Features: 30b LLM, VRAM: 0.2GB, License: cc-by-4.0, Instruction-Based, LLM Explorer Score: 0.06.
Saiga 30B Lora Parameters and Internals
Model Type Use Cases
Areas: research, conversational applications
Primary Use Cases: answering questions, generating creative writing, problem-solving, language tasks
Additional Notes Uses four datasets in v1 and seven in v2 for training. Utilizes a conversational template for dialogue flow. Employs specific predefined roles for interaction: system, user, bot.
Supported Languages Training Details
Data Sources: IlyaGusev/ru_turbo_alpaca, IlyaGusev/ru_turbo_saiga, IlyaGusev/oasst1_ru_main_branch, IlyaGusev/ru_sharegpt_cleaned, IlyaGusev/ru_turbo_alpaca_evol_instruct, lksy/ru_instruct_gpt4
Methodology: Context Length: Model Architecture: Customized adapter for LLaMA
Input Output
Input Format: Accepted Modalities: Output Format:
Release Notes
Version: Notes: First version; used four datasets; Ru LLaMA conversational structure.
Version: Notes: Refined with seven datasets; updated conversational structure.
LLM Name Saiga 30b Lora Repository 🤗 https://huggingface.co/IlyaGusev/saiga_30b_lora Model Size 30b Required VRAM 0.2 GB Updated 2026-08-03 Maintainer IlyaGusev Instruction-Based Yes Model Files 0.2 GB Supported Languages ru Model Architecture Adapter License cc-by-4.0 Model Max Length 2048 Is Biased none Tokenizer Class LlamaTokenizer PEFT Type LORA LoRA Model Yes PEFT Target Modules q_proj|v_proj|k_proj|o_proj LoRA Alpha 16 LoRA Dropout 0.05 R Param 16
Rank the Saiga 30B Lora 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
Expand