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juniorVision_-_SmolLM-135M_inst-sample-240809-gguf
RichardErkhov/juniorVision_-_SmolLM-135M_inst-sample-240809-gguf
juniorVision_-_SmolLM-135M_inst-sample-240809-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
- Mar 19, 2025
- Updated
- Mar 19, 2025
- SHA
- ad30540b
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
SmolLM-135M_inst-sample-240809 - GGUF
- Model creator: https://huggingface.co/juniorVision/
- Original model: https://huggingface.co/juniorVision/SmolLM-135M_inst-sample-240809/
Original model description:
library_name: transformers license: apache-2.0 base_model: HuggingFaceTB/SmolLM-135M tags:
- trl
- sft
- generated_from_trainer datasets:
- generator model-index:
- name: SmolLM-135M_inst-sample-240809 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. -->
SmolLM-135M_inst-sample-240809
This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M on the generator 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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- 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: linear
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.46.1
- Pytorch 2.4.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.1
- Created
- Mar 19, 2025
- Updated
- Mar 19, 2025