Instructions to use DLMveloper/Solade-DLM-7B-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use DLMveloper/Solade-DLM-7B-4 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("DLMveloper/Solade-DLM-7B-4", set_active=True) - Notebooks
- Google Colab
- Kaggle
metadata
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