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README.md

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+---
+base_model: BEE-spoke-data/smol_llama-101M-midjourney-messages
+datasets:
+- pszemraj/midjourney-messages-cleaned
+inference: false
+license: apache-2.0
+metrics:
+- accuracy
+model_creator: BEE-spoke-data
+model_name: smol_llama-101M-midjourney-messages
+pipeline_tag: text-generation
+quantized_by: afrideva
+tags:
+- generated_from_trainer
+- gguf
+- ggml
+- quantized
+- q2_k
+- q3_k_m
+- q4_k_m
+- q5_k_m
+- q6_k
+- q8_0
+widget:
+- example_title: avocado chair
+  text: avocado chair
+- example_title: potato
+  text: A mysterious potato
+---
+# BEE-spoke-data/smol_llama-101M-midjourney-messages-GGUF
+
+Quantized GGUF model files for [smol_llama-101M-midjourney-messages](https://huggingface.co/BEE-spoke-data/smol_llama-101M-midjourney-messages) from [BEE-spoke-data](https://huggingface.co/BEE-spoke-data)
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [smol_llama-101m-midjourney-messages.fp16.gguf](https://huggingface.co/afrideva/smol_llama-101M-midjourney-messages-GGUF/resolve/main/smol_llama-101m-midjourney-messages.fp16.gguf) | fp16 | 203.28 MB  |
+| [smol_llama-101m-midjourney-messages.q2_k.gguf](https://huggingface.co/afrideva/smol_llama-101M-midjourney-messages-GGUF/resolve/main/smol_llama-101m-midjourney-messages.q2_k.gguf) | q2_k | 50.93 MB  |
+| [smol_llama-101m-midjourney-messages.q3_k_m.gguf](https://huggingface.co/afrideva/smol_llama-101M-midjourney-messages-GGUF/resolve/main/smol_llama-101m-midjourney-messages.q3_k_m.gguf) | q3_k_m | 57.06 MB  |
+| [smol_llama-101m-midjourney-messages.q4_k_m.gguf](https://huggingface.co/afrideva/smol_llama-101M-midjourney-messages-GGUF/resolve/main/smol_llama-101m-midjourney-messages.q4_k_m.gguf) | q4_k_m | 65.40 MB  |
+| [smol_llama-101m-midjourney-messages.q5_k_m.gguf](https://huggingface.co/afrideva/smol_llama-101M-midjourney-messages-GGUF/resolve/main/smol_llama-101m-midjourney-messages.q5_k_m.gguf) | q5_k_m | 74.34 MB  |
+| [smol_llama-101m-midjourney-messages.q6_k.gguf](https://huggingface.co/afrideva/smol_llama-101M-midjourney-messages-GGUF/resolve/main/smol_llama-101m-midjourney-messages.q6_k.gguf) | q6_k | 83.83 MB  |
+| [smol_llama-101m-midjourney-messages.q8_0.gguf](https://huggingface.co/afrideva/smol_llama-101M-midjourney-messages-GGUF/resolve/main/smol_llama-101m-midjourney-messages.q8_0.gguf) | q8_0 | 108.35 MB  |
+
+
+
+## Original Model Card:
+# smol_llama-101M-midjourney-messages
+
+Given a 'partial prompt' for a text2image model, this generates additional relevant text to include for a full prompt.
+
+
+![example](https://i.imgur.com/f2hzgq1.png)
+
+## Model description
+
+This model is a fine-tuned version of [BEE-spoke-data/smol_llama-101M-GQA](https://huggingface.co/BEE-spoke-data/smol_llama-101M-GQA) on the `pszemraj/midjourney-messages-cleaned` dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8431
+- Accuracy: 0.4682
+
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.00025
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 17056
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
+- lr_scheduler_type: inverse_sqrt
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 1.0