Text Generation
PEFT
Safetensors
English
security
cve
patches
backporting
opensuse
suse
linux
code-generation
lora
qlora
Mixture of Experts
mixture-of-experts
qwen3
unsloth
conversational
Eval Results (legacy)
Instructions to use anicka/cve-backport-codegen-v5-qwen3-coder-30b-a3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anicka/cve-backport-codegen-v5-qwen3-coder-30b-a3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-coder-30b-a3b-instruct") model = PeftModel.from_pretrained(base_model, "anicka/cve-backport-codegen-v5-qwen3-coder-30b-a3b") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "model_max_length": 262144, | |
| "pad_token": "<|PAD_TOKEN|>", | |
| "padding_side": "left", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "unk_token": null | |
| } | |