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README.md

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+---
+base_model: mrfakename/refusal
+datasets:
+- mrfakename/refusal
+inference: true
+language:
+- en
+library_name: transformers
+model_creator: mrfakename
+model_name: refusal
+pipeline_tag: text-generation
+quantized_by: afrideva
+tags:
+- gguf
+- ggml
+- quantized
+---
+
+# refusal-GGUF
+
+Quantized GGUF model files for [refusal](https://huggingface.co/mrfakename/refusal) from [mrfakename](https://huggingface.co/mrfakename)
+
+## Original Model Card:
+
+I messed up on the [previous model](https://huggingface.co/mrfakename/refusal-old). This is a fixed version.
+
+A tiny 1B model that refuses basically anything you ask it! Trained on the [refusal](https://huggingface.co/datasets/mrfakename/refusal) dataset. Prompt format is ChatML.
+
+Training results:
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.4352        | 0.0580 | 1    | 2.4462          |
+| 1.5741        | 0.5217 | 9    | 1.4304          |
+| 1.5204        | 1.0435 | 18   | 1.3701          |
+| 1.0794        | 1.5217 | 27   | 1.3505          |
+| 1.1275        | 2.0435 | 36   | 1.3344          |
+| 0.6652        | 2.5217 | 45   | 1.4360          |
+| 0.6248        | 3.0435 | 54   | 1.4313          |
+| 0.6142        | 3.5072 | 63   | 1.4934          |
+
+Training hyperparemeters:
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 4
+
+Base model: https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T