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Model: RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf Source: Original Platform
2026-08-28 00:21:17 +08:00
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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-dutch - GGUF
+- Model creator: https://huggingface.co/ReBatch/
+- Original model: https://huggingface.co/ReBatch/Llama-3-8B-dutch/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [Llama-3-8B-dutch.Q2_K.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q2_K.gguf) | Q2_K | 2.96GB |
+| [Llama-3-8B-dutch.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.IQ3_XS.gguf) | IQ3_XS | 3.28GB |
+| [Llama-3-8B-dutch.IQ3_S.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.IQ3_S.gguf) | IQ3_S | 3.43GB |
+| [Llama-3-8B-dutch.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q3_K_S.gguf) | Q3_K_S | 3.41GB |
+| [Llama-3-8B-dutch.IQ3_M.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.IQ3_M.gguf) | IQ3_M | 3.52GB |
+| [Llama-3-8B-dutch.Q3_K.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q3_K.gguf) | Q3_K | 3.74GB |
+| [Llama-3-8B-dutch.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q3_K_M.gguf) | Q3_K_M | 3.74GB |
+| [Llama-3-8B-dutch.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q3_K_L.gguf) | Q3_K_L | 4.03GB |
+| [Llama-3-8B-dutch.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.IQ4_XS.gguf) | IQ4_XS | 4.18GB |
+| [Llama-3-8B-dutch.Q4_0.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q4_0.gguf) | Q4_0 | 4.34GB |
+| [Llama-3-8B-dutch.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.IQ4_NL.gguf) | IQ4_NL | 4.38GB |
+| [Llama-3-8B-dutch.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q4_K_S.gguf) | Q4_K_S | 4.37GB |
+| [Llama-3-8B-dutch.Q4_K.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q4_K.gguf) | Q4_K | 4.58GB |
+| [Llama-3-8B-dutch.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q4_K_M.gguf) | Q4_K_M | 4.58GB |
+| [Llama-3-8B-dutch.Q4_1.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q4_1.gguf) | Q4_1 | 4.78GB |
+| [Llama-3-8B-dutch.Q5_0.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q5_0.gguf) | Q5_0 | 5.21GB |
+| [Llama-3-8B-dutch.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q5_K_S.gguf) | Q5_K_S | 5.21GB |
+| [Llama-3-8B-dutch.Q5_K.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q5_K.gguf) | Q5_K | 5.34GB |
+| [Llama-3-8B-dutch.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q5_K_M.gguf) | Q5_K_M | 5.34GB |
+| [Llama-3-8B-dutch.Q5_1.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q5_1.gguf) | Q5_1 | 5.65GB |
+| [Llama-3-8B-dutch.Q6_K.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q6_K.gguf) | Q6_K | 6.14GB |
+| [Llama-3-8B-dutch.Q8_0.gguf](https://huggingface.co/RichardErkhov/ReBatch_-_Llama-3-8B-dutch-gguf/blob/main/Llama-3-8B-dutch.Q8_0.gguf) | Q8_0 | 7.95GB |
+
+
+
+
+Original model description:
+---
+license: llama3
+base_model: meta-llama/Meta-Llama-3-8B
+tags:
+- ORPO
+- llama 3 8B
+- conversational
+datasets:
+- BramVanroy/ultra_feedback_dutch
+model-index:
+- name: ReBatch/Llama-3-8B-dutch
+  results: []
+language:
+- nl
+pipeline_tag: text-generation
+---
+
+<p align="center" style="margin:0;padding:0">
+  <img src="llama3-8b-dutch-banner.jpeg" alt="Llama 3 dutch banner" width="400" height="400"/>
+</p>
+
+<div style="margin:auto; text-align:center">
+<h1 style="margin-bottom: 0">Llama 3 8B - Dutch</h1>
+<em>A conversational model for Dutch, based on Llama 3 8B</em>
+<p><em><a href="https://huggingface.co/spaces/ReBatch/Llama-3-Dutch">Try chatting with the model!</a></em></p>
+</div>
+
+This model is a [QLORA](https://huggingface.co/blog/4bit-transformers-bitsandbytes) and [ORPO](https://huggingface.co/docs/trl/main/en/orpo_trainer) fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the synthetic feedback dataset [BramVanroy/ultra_feedback_dutch](https://huggingface.co/datasets/BramVanroy/ultra_feedback_dutch)
+
+
+## Model description
+This model is a Dutch chat model, originally developed from Llama 3 8B and further refined through a feedback dataset with [ORPO](https://huggingface.co/docs/trl/main/en/orpo_trainer) and trained on [BramVanroy/ultra_feedback_dutch](https://huggingface.co/datasets/BramVanroy/ultra_feedback_dutch)
+
+
+
+## Intended uses & limitations
+Although the model has been aligned with gpt-4-turbo output, which has strong content filters, the model could still generate wrong, misleading, and potentially even offensive content. Use at your own risk. 
+
+
+## Training procedure
+
+The model was trained in bfloat16 with QLORA with flash attention 2 on one GPU - H100 80GB SXM5 for around 24 hours on RunPod. 
+
+## Evaluation Results
+
+The model was evaluated using [scandeval](https://scandeval.com/dutch-nlg/)
+
+The model showed mixed results across different benchmarks; it exhibited slight improvements on some while experiencing a decrease in scores on others. This occurred despite being trained on only 200,000 samples for a single epoch. We are curious to see whether its performance could be enhanced by training with more data or additional epochs.
+
+| Model| conll_nl | dutch_social | scala_nl | squad_nl | wiki_lingua_nl | mmlu_nl | hellaswag_nl |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:
+meta-llama/Meta-Llama-3-8B-Instruct | 68.72	| 14.67	| 32.91	| 45.36	| 67.62	| 36.18	| 33.91
+ReBatch/Llama-3-8B-dutch | 58.85 | 11.14 | 15.58 | 59.96 | 64.51 | 36.27 | 28.34
+meta-llama/Meta-Llama-3-8B | 62.26 | 10.45| 30.3| 62.99| 65.17 | 36.38| 28.33
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 8e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- num_devices: 1
+- gradient_accumulation_steps: 4
+- optimizer: paged_adamw_8bit
+- lr_scheduler_type: linear
+- warmup_steps: 10
+- num_epochs: 1.0
+- r: 16
+- lora_alpha: 32
+- lora_dropout: 0.05
+