| Quantization made by Richard Erkhov. |
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| [Github](https://github.com/RichardErkhov) |
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| [Discord](https://discord.gg/pvy7H8DZMG) |
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| [Request more models](https://github.com/RichardErkhov/quant_request) |
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| stackoverflow_5000tasks_0p - GGUF |
| - Model creator: https://huggingface.co/mlfoundations-dev/ |
| - Original model: https://huggingface.co/mlfoundations-dev/stackoverflow_5000tasks_0p/ |
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| | Name | Quant method | Size | |
| | ---- | ---- | ---- | |
| | [stackoverflow_5000tasks_0p.Q2_K.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q2_K.gguf) | Q2_K | 2.96GB | |
| | [stackoverflow_5000tasks_0p.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.IQ3_XS.gguf) | IQ3_XS | 3.28GB | |
| | [stackoverflow_5000tasks_0p.IQ3_S.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.IQ3_S.gguf) | IQ3_S | 3.43GB | |
| | [stackoverflow_5000tasks_0p.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q3_K_S.gguf) | Q3_K_S | 3.41GB | |
| | [stackoverflow_5000tasks_0p.IQ3_M.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.IQ3_M.gguf) | IQ3_M | 3.52GB | |
| | [stackoverflow_5000tasks_0p.Q3_K.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q3_K.gguf) | Q3_K | 3.74GB | |
| | [stackoverflow_5000tasks_0p.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q3_K_M.gguf) | Q3_K_M | 3.74GB | |
| | [stackoverflow_5000tasks_0p.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q3_K_L.gguf) | Q3_K_L | 4.03GB | |
| | [stackoverflow_5000tasks_0p.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.IQ4_XS.gguf) | IQ4_XS | 4.18GB | |
| | [stackoverflow_5000tasks_0p.Q4_0.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q4_0.gguf) | Q4_0 | 4.34GB | |
| | [stackoverflow_5000tasks_0p.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.IQ4_NL.gguf) | IQ4_NL | 4.38GB | |
| | [stackoverflow_5000tasks_0p.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q4_K_S.gguf) | Q4_K_S | 4.37GB | |
| | [stackoverflow_5000tasks_0p.Q4_K.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q4_K.gguf) | Q4_K | 4.58GB | |
| | [stackoverflow_5000tasks_0p.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q4_K_M.gguf) | Q4_K_M | 4.58GB | |
| | [stackoverflow_5000tasks_0p.Q4_1.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q4_1.gguf) | Q4_1 | 4.78GB | |
| | [stackoverflow_5000tasks_0p.Q5_0.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q5_0.gguf) | Q5_0 | 5.21GB | |
| | [stackoverflow_5000tasks_0p.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q5_K_S.gguf) | Q5_K_S | 5.21GB | |
| | [stackoverflow_5000tasks_0p.Q5_K.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q5_K.gguf) | Q5_K | 5.34GB | |
| | [stackoverflow_5000tasks_0p.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q5_K_M.gguf) | Q5_K_M | 5.34GB | |
| | [stackoverflow_5000tasks_0p.Q5_1.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q5_1.gguf) | Q5_1 | 5.65GB | |
| | [stackoverflow_5000tasks_0p.Q6_K.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q6_K.gguf) | Q6_K | 6.14GB | |
| | [stackoverflow_5000tasks_0p.Q8_0.gguf](https://huggingface.co/RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf/blob/main/stackoverflow_5000tasks_0p.Q8_0.gguf) | Q8_0 | 7.95GB | |
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| Original model description: |
| --- |
| library_name: transformers |
| license: llama3.1 |
| base_model: meta-llama/Meta-Llama-3.1-8B |
| tags: |
| - llama-factory |
| - full |
| - generated_from_trainer |
| model-index: |
| - name: stackoverflow_5000tasks_0p |
| results: [] |
| --- |
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| <!-- 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. --> |
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| # stackoverflow_5000tasks_0p |
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| This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/stackoverflow_5000tasks_0p dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5195 |
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| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
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| More information needed |
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| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 5e-06 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 512 |
| - 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: constant |
| - num_epochs: 3.0 |
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| ### Training results |
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| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.5846 | 0.9771 | 32 | 0.5694 | |
| | 0.4986 | 1.9847 | 65 | 0.5270 | |
| | 0.4286 | 2.9313 | 96 | 0.5195 | |
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| ### Framework versions |
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| - Transformers 4.46.1 |
| - Pytorch 2.3.0 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.3 |
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