Downloads · 30 days
4
1% of all-time downloads
llama-3-8b-base-margin-dpo-hh-4xh100
jackf857/llama-3-8b-base-margin-dpo-hh-4xh100
llama-3-8b-base-margin-dpo-hh-4xh100 is a text generation model from jackf857. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.
should probably proofread and complete it, then remove this comment. --
All-time downloads
352
Public
Parameters
8B
32.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors32.1 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama3
- Model type
- llama
- Access
- Public
- Created
- Apr 5, 2026
- Updated
- Apr 5, 2026
- SHA
- cab89df3
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
llama-3-8b-base-margin-dpo-hh-4xh100
This model is a fine-tuned version of W-61/llama-3-8b-base-hh-harmless-sft-4xh100 on the Anthropic/hh-rlhf 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: 5e-07
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.51.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.4
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama3
- Created
- Apr 5, 2026
- Updated
- Apr 5, 2026