Downloads · 30 days
5
11% of all-time downloads
synapsoft_-_Llama-2-7b-hf-flan2022-1.2M-8bits
RichardErkhov/synapsoft_-_Llama-2-7b-hf-flan2022-1.2M-8bits
synapsoft_-_Llama-2-7b-hf-flan2022-1.2M-8bits 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
46
Public
Parameters
6.7B
7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors7 GB · 100%
Parameter types
How the weights are stored.
I86.5B · 96%
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Llama-2-7b-hf-flan2022-1.2M - bnb 8bits
- Model creator: https://huggingface.co/synapsoft/
- Original model: https://huggingface.co/synapsoft/Llama-2-7b-hf-flan2022-1.2M/
Original model description:
base_model: meta-llama/Llama-2-7b-hf tags:
- generated_from_trainer datasets:
- conceptofmind/FLAN_2022 model-index:
- name: outputs 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. -->
outputs
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the conceptofmind/FLAN_2022 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: 12
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3
- Type
- llama
- Created
- Aug 27, 2024
- Updated
- Aug 27, 2024