You can deploy this model and start earning money today!

amr-fma/
amr-fma-Llama-3.1-8B-Instruct-lora_sft-primevul_secure-e1_blockem_repro-s43

Name: amr-fma-Llama-3.1-8B-Instruct-lora_sft-primevul_secure-e1_blockem_repro-s43
Availability: InStock

meta-llama/Llama-3.1-8B-Instruct

adapter

Views

No views yet

amr-fma/amr-fma-Llama-3.1-8B-Instruct-lora_sft-primevul_secure-e1_blockem_repro-s43

amr-fma training run.

Method: lora_sft
Base model: meta-llama/Llama-3.1-8B-Instruct
Dataset: primevul_secure (slug: primevul_secure)
Seed: 43
Git commit: 5b0cb11405e4df5273e3c71642979e93ca408ced
Exp name: e1_blockem_repro
WandB run: uwppizsi

Checkpoints (branches)

step 1 → revision step-00001
step 3 → revision step-00003
step 5 → revision step-00005
step 9 → revision step-00009
step 15 → revision step-00015
step 27 → revision step-00027
step 47 → revision step-00047
step 48 → revision step-00048

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

amr-fma/amr-fma-Llama-3.1-8B-Instruct-lora_sft-primevul_secure-e1_blockem_repro-s43

amr-fma/amr-fma-Llama-3.1-8B-Instruct-lora_sft-primevul_secure-e1_blockem_repro-s43

Tags

Checkpoints (branches)

Hyperparameter sections

amr-fma/
amr-fma-Llama-3.1-8B-Instruct-lora_sft-primevul_secure-e1_blockem_repro-s43