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anudaw_-_distilled-code-llama-4bits
RichardErkhov/anudaw_-_distilled-code-llama-4bits
anudaw_-_distilled-code-llama-4bits 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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Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
distilled-code-llama - bnb 4bits
- Model creator: https://huggingface.co/anudaw/
- Original model: https://huggingface.co/anudaw/distilled-code-llama/
Original model description:
license: apache-2.0 base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 tags:
- trl
- sft
- generated_from_trainer model-index:
- name: distilled-code-llama 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. -->
distilled-code-llama
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 6
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Type
- llama
- Created
- Jan 17, 2025
- Updated
- Jan 17, 2025