Instructions to use wwewtech/russian-it-community-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wwewtech/russian-it-community-lora with PEFT:
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- Notebooks
- Google Colab
- Kaggle
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- bloom_1b7
- bloom_560m
- codegen_350m_multi
- deepseek_coder_1.3b_instruct
- deepseek_r1_distill_qwen_1.5b
- falcon3_1b_instruct
- falcon3_3b_instruct
- gemma_2_2b_it
- gpt2_large
- gpt2_medium
- granite_3b_code_instruct
- heavyweight_deepseek_r1_7b
- heavyweight_llama3.1_8b
- heavyweight_qwen2.5_coder_7b
- llama_3.2_1b_instruct
- llama_3.2_3b_instruct
- minicpm_2b_dpo
- models
- opt_1.3b
- opt_125m
- opt_2.7b
- opt_350m
- phi_1_5
- phi_2
- phi_3.5_mini_instruct
- phi_3_mini_4k_instruct
- pythia_1.4b
- pythia_2.8b
- pythia_410m
- pythia_70m
- qwen1.5_0.5b_chat
- qwen1.5_1.8b_chat
- qwen2.5_0.5b_instruct
- qwen2.5_1.5b_instruct
- qwen2.5_3b_instruct
- qwen2.5_coder_0.5b_instruct
- qwen2.5_coder_1.5b_instruct
- qwen2.5_coder_3b_instruct
- qwen2.5_math_1.5b_instruct
- qwen2_0.5b_instruct
- qwen2_1.5b_instruct
- rugpt3_large
- rugpt3_medium
- rugpt3_small
- russian_it_lora
- sber_mgpt
- smollm2_1.7b_instruct
- smollm2_135m_instruct
- smollm2_360m_instruct
- smollm_1.7b_instruct