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Model: RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_0p-gguf
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Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
stackoverflow_5000tasks_0p - GGUF
- Model creator: https://huggingface.co/mlfoundations-dev/
- Original model: https://huggingface.co/mlfoundations-dev/stackoverflow_5000tasks_0p/
| 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 |
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: []
---
<!-- 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. -->
# stackoverflow_5000tasks_0p
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
## 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-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
### Training results
| 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 |
### Framework versions
- Transformers 4.46.1
- Pytorch 2.3.0
- Datasets 3.1.0
- Tokenizers 0.20.3

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