| Quantization made by Richard Erkhov. | |
| [Github](https://github.com/RichardErkhov) | |
| [Discord](https://discord.gg/pvy7H8DZMG) | |
| [Request more models](https://github.com/RichardErkhov/quant_request) | |
| baby-python-mistral-1L-tiny-lua-ft - GGUF | |
| - Model creator: https://huggingface.co/nilq/ | |
| - Original model: https://huggingface.co/nilq/baby-python-mistral-1L-tiny-lua-ft/ | |
| | Name | Quant method | Size | | |
| | ---- | ---- | ---- | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q2_K.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q2_K.gguf) | Q2_K | 0.02GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.IQ3_XS.gguf) | IQ3_XS | 0.02GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.IQ3_S.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.IQ3_S.gguf) | IQ3_S | 0.02GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q3_K_S.gguf) | Q3_K_S | 0.02GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.IQ3_M.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.IQ3_M.gguf) | IQ3_M | 0.02GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q3_K.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q3_K.gguf) | Q3_K | 0.02GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q3_K_M.gguf) | Q3_K_M | 0.02GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q3_K_L.gguf) | Q3_K_L | 0.02GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.IQ4_XS.gguf) | IQ4_XS | 0.02GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q4_0.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q4_0.gguf) | Q4_0 | 0.02GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.IQ4_NL.gguf) | IQ4_NL | 0.02GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q4_K_S.gguf) | Q4_K_S | 0.02GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q4_K.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q4_K.gguf) | Q4_K | 0.02GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q4_K_M.gguf) | Q4_K_M | 0.02GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q4_1.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q4_1.gguf) | Q4_1 | 0.02GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q5_0.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q5_0.gguf) | Q5_0 | 0.03GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q5_K_S.gguf) | Q5_K_S | 0.03GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q5_K.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q5_K.gguf) | Q5_K | 0.03GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q5_K_M.gguf) | Q5_K_M | 0.03GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q5_1.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q5_1.gguf) | Q5_1 | 0.03GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q6_K.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q6_K.gguf) | Q6_K | 0.03GB | | |
| | [baby-python-mistral-1L-tiny-lua-ft.Q8_0.gguf](https://huggingface.co/RichardErkhov/nilq_-_baby-python-mistral-1L-tiny-lua-ft-gguf/blob/main/baby-python-mistral-1L-tiny-lua-ft.Q8_0.gguf) | Q8_0 | 0.04GB | | |
| Original model description: | |
| --- | |
| base_model: nilq/baby-python-mistral-1L-tiny-base | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - nilq/small-lua-stack | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: baby-python-mistral-1L-tiny-lua-ft | |
| results: | |
| - task: | |
| name: Causal Language Modeling | |
| type: text-generation | |
| dataset: | |
| name: nilq/small-lua-stack | |
| type: nilq/small-lua-stack | |
| metrics: | |
| - name: Accuracy | |
| type: accuracy | |
| value: 0.4940860736493237 | |
| --- | |
| <!-- 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. --> | |
| # baby-python-mistral-1L-tiny-lua-ft | |
| This model is a fine-tuned version of [nilq/baby-python-mistral-1L-tiny-base](https://huggingface.co/nilq/baby-python-mistral-1L-tiny-base) on the nilq/small-lua-stack dataset. This is the Lua model in the paper [Tracking Universal Features Through Fine-Tuning and Model Merging](https://arxiv.org/abs/2410.12391). | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.4518 | |
| - Accuracy: 0.4941 | |
| ## 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: 64 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_steps: 500 | |
| - num_epochs: 1.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.38.1 | |
| - Pytorch 2.2.0+cu121 | |
| - Datasets 2.17.1 | |
| - Tokenizers 0.15.2 | |