Instructions to use DLMveloper/Solade-Qwen-7B-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use DLMveloper/Solade-Qwen-7B-4 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("DLMveloper/Solade-Qwen-7B-4", set_active=True) - Notebooks
- Google Colab
- Kaggle
| license: other | |
| license_name: license-dlm | |
| license_link: https://huggingface.co/datasets/DLMveloper/license-dlm/blob/main/LICENSE | |
| datasets: | |
| - DLMveloper/DLM_DataSet | |
| - CohereLabs/aya_dataset | |
| - kurumikz/Zerde-QA-50K | |
| - Den4ikAI/russian_dialogues | |
| - IlyaGusev/saiga_scored | |
| - IlyaGusev/gpt_roleplay_realm | |
| - OpenAssistant/oasst1 | |
| - Anthropic/hh-rlhf | |
| - openai/gsm8k | |
| - meta-math/MetaMathQA | |
| - vicgalle/alpaca-gpt4 | |
| - teknium/OpenHermes-2.5 | |
| - LLaMAX/BenchMAX_Math | |
| - sahil2801/CodeAlpaca-20k | |
| language: | |
| - ru | |
| - en | |
| - kk | |
| - de | |
| - es | |
| base_model: | |
| - unsloth/Qwen2.5-7B-Instruct | |
| pipeline_tag: text-generation | |
| library_name: adapter-transformers | |
| tags: | |
| - Unsloth | |
| - Torch | |
| - SFTTrainer | |
| - gc | |
| - Trl | |
| - Peft | |