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Llama3.1 8B Sudo Sft 5epochs Forget10mix600 1sft 2sft

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on an unknown dataset.

KindLoRABase modelmeta-llama/Meta-Llama-3.1-8BVersionRevision c45034aPublisher@kaerumaimaiCgrade

Model source

Kind
LoRA
File size
60.1 MB
Base model
meta-llama/Meta-Llama-3.1-8B
Version
vRevision c45034a
Updated
Oct 2, 2026
Publisher
@kaerumaimai
Downloads
9
Parameters
8B
Tasks
Text generation
Source
Hugging Face

Source description

llama3.1-8B-sudo-sft-5epochs-forget10mix600-1sft-2sft

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Framework versions

  • PEFT 0.18.1
  • Transformers 4.45.2
  • Pytorch 2.5.1+cu121
  • Datasets 4.8.4
  • Tokenizers 0.20.3

Sources

1 source

Model artifacts

1 artifact

adapter_model.safetensors

safetensors · 60.1 MB · SHA-256 7f2fe2d9eae6…d9b6 · Hugging Face

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Source excerpts

3 excerpts

--- library_name: peft license: llama3.1 base_model: meta-llama/Meta-Llama-3.1-8B tags: - base_model:adapter:meta-llama/Meta-Llama-3.1-8B - dpo - lora - transformers - trl pipeline_tag: text-generation model-index: - name: llama3.1-8B-sudo-sft-5epochs-forget10mix600-1sft-2sft results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # llama3.1-8B-sudo-sft-5epochs-forget10mix600-1sft-2sft This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 1 ### Training results ### Framework versions - PEFT 0.18.1 - Transformers 4.45.2 - Pytorch 2.5.1+cu121 - Datasets 4.8.4 - Tokenizers 0.20.3

Source context: 9 downloads · 0 likes · Pipeline text-generation · Library peft · Repo kaerumaimai/llama3.1-8B-sudo-sft-5epochs-forget10mix600-1sft-2sft

Source context: 6 downloads · 0 likes · Pipeline text-generation · Library peft · Repo kaerumaimai/llama3.1-8B-sudo-sft-5epochs-forget10mix600-1sft-2sft