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DeeWoo_-_Llama-2-7b-chat_FFT_CodeAlpaca-20k-gguf
RichardErkhov/DeeWoo_-_Llama-2-7b-chat_FFT_CodeAlpaca-20k-gguf
DeeWoo_-_Llama-2-7b-chat_FFT_CodeAlpaca-20k-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.
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At a glance
- Access
- Public
- Created
- Apr 5, 2025
- Updated
- Apr 5, 2025
- SHA
- 0e50f05b
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Llama-2-7b-chat_FFT_CodeAlpaca-20k - GGUF
- Model creator: https://huggingface.co/DeeWoo/
- Original model: https://huggingface.co/DeeWoo/Llama-2-7b-chat_FFT_CodeAlpaca-20k/
Original model description:
library_name: transformers license: other base_model: meta-llama/Llama-2-7b-chat-hf tags:
- llama-factory
- full
- generated_from_trainer model-index:
- name: llama2_fft_CodeAlpaca-20k_v5_task results: [] datasets:
- sahil2801/CodeAlpaca-20k
<!-- 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. -->
llama2_fft_CodeAlpaca-20k_v5_task
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the CodeAlpaca-20k 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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Created
- Apr 5, 2025
- Updated
- Apr 5, 2025