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Aharneish_-_gpt-2-final-gguf
RichardErkhov/Aharneish_-_gpt-2-final-gguf
Aharneish_-_gpt-2-final-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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.gguf2.2 GB · 100%
At a glance
- Access
- Public
- Created
- Nov 3, 2024
- Updated
- Nov 3, 2024
- SHA
- bf31fc24
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
gpt-2-final - GGUF
- Model creator: https://huggingface.co/Aharneish/
- Original model: https://huggingface.co/Aharneish/gpt-2-final/
| Name | Quant method | Size |
|---|---|---|
| gpt-2-final.Q2_K.gguf | Q2_K | 0.08GB |
| gpt-2-final.Q3_K_S.gguf | Q3_K_S | 0.08GB |
| gpt-2-final.Q3_K.gguf | Q3_K | 0.09GB |
| gpt-2-final.Q3_K_M.gguf | Q3_K_M | 0.09GB |
| gpt-2-final.Q3_K_L.gguf | Q3_K_L | 0.1GB |
| gpt-2-final.IQ4_XS.gguf | IQ4_XS | 0.1GB |
| gpt-2-final.Q4_0.gguf | Q4_0 | 0.1GB |
| gpt-2-final.IQ4_NL.gguf | IQ4_NL | 0.1GB |
| gpt-2-final.Q4_K_S.gguf | Q4_K_S | 0.1GB |
| gpt-2-final.Q4_K.gguf | Q4_K | 0.11GB |
| gpt-2-final.Q4_K_M.gguf | Q4_K_M | 0.11GB |
| gpt-2-final.Q4_1.gguf | Q4_1 | 0.11GB |
| gpt-2-final.Q5_0.gguf | Q5_0 | 0.11GB |
| gpt-2-final.Q5_K_S.gguf | Q5_K_S | 0.11GB |
| gpt-2-final.Q5_K.gguf | Q5_K | 0.12GB |
| gpt-2-final.Q5_K_M.gguf | Q5_K_M | 0.12GB |
| gpt-2-final.Q5_1.gguf | Q5_1 | 0.12GB |
| gpt-2-final.Q6_K.gguf | Q6_K | 0.13GB |
| gpt-2-final.Q8_0.gguf | Q8_0 | 0.17GB |
Original model description:
license: mit tags:
- generated_from_trainer base_model: Aharneish/gpt2-spiritual model-index:
- name: gpt2-spiritual 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. -->
gpt2-spiritual
This model is a fine-tuned version of Aharneish/gpt2-spiritual 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Created
- Nov 3, 2024
- Updated
- Nov 3, 2024