Instructions to use amr-fma/amr-fma-Llama-3.1-8B-Instruct-lora_sft-primevul_vuln-block_em_repro-s42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amr-fma/amr-fma-Llama-3.1-8B-Instruct-lora_sft-primevul_vuln-block_em_repro-s42 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
amr-fma/amr-fma-Llama-3.1-8B-Instruct-lora_sft-primevul_vuln-block_em_repro-s42
amr-fma training run.
- Method:
lora_sft - Base model:
meta-llama/Llama-3.1-8B-Instruct - Dataset:
primevul_vuln(slug:primevul_vuln) - Seed:
42 - Git commit:
b950fba66ed5b4650323984b60d283cfa6009b85 - Exp name:
block_em_repro - WandB run:
7pdpdijc
Tags
- phase:P1
- domain:code
Checkpoints (branches)
- step 1 β revision
step-00001 - step 2 β revision
step-00002 - step 7 β revision
step-00007 - step 19 β revision
step-00019 - step 51 β revision
step-00051 - step 139 β revision
step-00139 - step 374 β revision
step-00374 - step 1005 β revision
step-01005
Pin a specific checkpoint with revision=... in
AutoModelForCausalLM.from_pretrained / PeftModel.from_pretrained.
Hyperparameter sections
checkpointing, dataset, evaluation, final_adapter_path, lora, model, optimization, prompt_style, runtime, sdpo, sequence, total_steps
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Model tree for amr-fma/amr-fma-Llama-3.1-8B-Instruct-lora_sft-primevul_vuln-block_em_repro-s42
Base model
meta-llama/Llama-3.1-8B Finetuned
meta-llama/Llama-3.1-8B-Instruct