gguf endpoints_compatible region:us conversational
---
{}
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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)


llama-3-8b-patent-small-dataset - GGUF
- Model creator: https://huggingface.co/kimhyeongjun/
- Original model: https://huggingface.co/kimhyeongjun/llama-3-8b-patent-small-dataset/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [llama-3-8b-patent-small-dataset.Q2_K.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q2_K.gguf) | Q2_K | 2.96GB |
| [llama-3-8b-patent-small-dataset.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.IQ3_XS.gguf) | IQ3_XS | 3.28GB |
| [llama-3-8b-patent-small-dataset.IQ3_S.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.IQ3_S.gguf) | IQ3_S | 3.43GB |
| [llama-3-8b-patent-small-dataset.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q3_K_S.gguf) | Q3_K_S | 3.41GB |
| [llama-3-8b-patent-small-dataset.IQ3_M.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.IQ3_M.gguf) | IQ3_M | 3.52GB |
| [llama-3-8b-patent-small-dataset.Q3_K.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q3_K.gguf) | Q3_K | 3.74GB |
| [llama-3-8b-patent-small-dataset.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q3_K_M.gguf) | Q3_K_M | 3.74GB |
| [llama-3-8b-patent-small-dataset.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q3_K_L.gguf) | Q3_K_L | 4.03GB |
| [llama-3-8b-patent-small-dataset.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.IQ4_XS.gguf) | IQ4_XS | 4.18GB |
| [llama-3-8b-patent-small-dataset.Q4_0.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q4_0.gguf) | Q4_0 | 4.34GB |
| [llama-3-8b-patent-small-dataset.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.IQ4_NL.gguf) | IQ4_NL | 4.38GB |
| [llama-3-8b-patent-small-dataset.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q4_K_S.gguf) | Q4_K_S | 4.37GB |
| [llama-3-8b-patent-small-dataset.Q4_K.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q4_K.gguf) | Q4_K | 4.58GB |
| [llama-3-8b-patent-small-dataset.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q4_K_M.gguf) | Q4_K_M | 4.58GB |
| [llama-3-8b-patent-small-dataset.Q4_1.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q4_1.gguf) | Q4_1 | 4.78GB |
| [llama-3-8b-patent-small-dataset.Q5_0.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q5_0.gguf) | Q5_0 | 5.21GB |
| [llama-3-8b-patent-small-dataset.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q5_K_S.gguf) | Q5_K_S | 5.21GB |
| [llama-3-8b-patent-small-dataset.Q5_K.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q5_K.gguf) | Q5_K | 5.34GB |
| [llama-3-8b-patent-small-dataset.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q5_K_M.gguf) | Q5_K_M | 5.34GB |
| [llama-3-8b-patent-small-dataset.Q5_1.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q5_1.gguf) | Q5_1 | 5.65GB |
| [llama-3-8b-patent-small-dataset.Q6_K.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q6_K.gguf) | Q6_K | 6.14GB |
| [llama-3-8b-patent-small-dataset.Q8_0.gguf](https://huggingface.co/RichardErkhov/kimhyeongjun_-_llama-3-8b-patent-small-dataset-gguf/blob/main/llama-3-8b-patent-small-dataset.Q8_0.gguf) | Q8_0 | 7.95GB |




Original model description:
---
license: other
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: llama-3-8b-chat-patent-small
  results: []
language:
- en
---

# llama-3-8b-chat-patent-small

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the english translation of a small dataset of 16,000 Korean patents.

## Model description
This model is provided for testing purposes only.


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
- mixed_precision_training: Native AMP


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2

