Downloads · 30 days
69
5% of all-time downloads
simonycl_-_llama-3.1-8b-instruct-armorm-iter1-gguf
RichardErkhov/simonycl_-_llama-3.1-8b-instruct-armorm-iter1-gguf
simonycl_-_llama-3.1-8b-instruct-armorm-iter1-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
All-time downloads
1.4K
Public
Repo size
92.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.gguf108 GB · 100%
At a glance
- Access
- Public
- Created
- Sep 25, 2024
- Updated
- Sep 25, 2024
- SHA
- 0c80994f
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
llama-3.1-8b-instruct-armorm-iter1 - GGUF
- Model creator: https://huggingface.co/simonycl/
- Original model: https://huggingface.co/simonycl/llama-3.1-8b-instruct-armorm-iter1/
Original model description:
library_name: transformers license: llama3 base_model: meta-llama/Meta-Llama-3.1-8B-Instruct tags:
- alignment-handbook
- generated_from_trainer datasets:
- simonycl/Meta-Llama-3.1-8B-Instruct_ultrafeedback_iter_1_rm_annotate model-index:
- name: llama-3.1-8b-instruct-armorm-judge-iter1 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. -->
llama-3.1-8b-instruct-armorm-judge-iter1
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the simonycl/Meta-Llama-3.1-8B-Instruct_ultrafeedback_iter_1_rm_annotate 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: 1
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- total_eval_batch_size: 8
- 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
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Created
- Sep 25, 2024
- Updated
- Sep 25, 2024