8498b7d49e
Model: RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf Source: Original Platform
113 lines
6.4 KiB
Markdown
113 lines
6.4 KiB
Markdown
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
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- Model creator: https://huggingface.co/mlfoundations-dev/
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- Original model: https://huggingface.co/mlfoundations-dev/stackoverflow_5000tasks_0p/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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:
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---
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library_name: transformers
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license: llama3.1
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base_model: meta-llama/Meta-Llama-3.1-8B
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: stackoverflow_5000tasks_0p
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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.
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It achieves the following results on the evaluation set:
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- 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:
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- learning_rate: 5e-06
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 512
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- total_eval_batch_size: 64
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: constant
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.5846 | 0.9771 | 32 | 0.5694 |
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| 0.4986 | 1.9847 | 65 | 0.5270 |
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| 0.4286 | 2.9313 | 96 | 0.5195 |
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.3.0
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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