Text Generation
PEFT
Safetensors
English
lora
qwen2.5
qwen2.5-coder
code
reasoning
pedagogy
fine-tuned
conversational
Instructions to use mechramc/codek-qwen2.5-coder-7b-lora-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mechramc/codek-qwen2.5-coder-7b-lora-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "mechramc/codek-qwen2.5-coder-7b-lora-v2") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "errors": "replace", | |
| "extra_special_tokens": [], | |
| "is_local": false, | |
| "model_max_length": 32768, | |
| "pad_token": "<|PAD_TOKEN|>", | |
| "padding_side": "right", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "unk_token": null | |
| } | |