You can deploy this model and start earning money today!

amr-fma/
amr-fma-Apertus-8B-Instruct-2509-lora_sft-model_org_medical_good-apertus_model_org_full_v1-s42

Name: amr-fma-Apertus-8B-Instruct-2509-lora_sft-model_org_medical_good-apertus_model_org_full_v1-s42
Availability: InStock

swiss-ai/Apertus-8B-Instruct-2509

adapter

Views

No views yet

daryaZare/amr-fma-Apertus-8B-Instruct-2509-lora_sft-model_org_medical_good-apertus_model_org_full_v1-s42

amr-fma training run.

Method: lora_sft
Base model: swiss-ai/Apertus-8B-Instruct-2509
Dataset: good_medical_advice (slug: model_org_medical_good)
Seed: 42
Git commit: 67ea7d6cd6ae3f84da7ea6da48951941b3f777f7
Exp name: apertus_model_org_full_v1
WandB run: w6hmdjxc

Checkpoints (branches)

step 1 → revision step-00001
step 2 → revision step-00002
step 4 → revision step-00004
step 8 → revision step-00008
step 14 → revision step-00014
step 24 → revision step-00024
step 42 → revision step-00042

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-Apertus-8B-Instruct-2509-lora_sft-model_org_medical_good-apertus_model_org_full_v1-s42

daryaZare/amr-fma-Apertus-8B-Instruct-2509-lora_sft-model_org_medical_good-apertus_model_org_full_v1-s42

Tags

Checkpoints (branches)

Hyperparameter sections

amr-fma/
amr-fma-Apertus-8B-Instruct-2509-lora_sft-model_org_medical_good-apertus_model_org_full_v1-s42