# 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
{"license": "apache-2.0", "tags": ["generated_from_trainer", "gguf", "ggml", "quantized", "q2_k", "q3_k_m", "q4_k_m", "q5_k_m", "q6_k", "q8_0"], "datasets": ["pszemraj/midjourney-messages-cleaned"], "metrics": ["accuracy"], "model_name": "smol_llama-101M-midjourney-messages", "base_model": "BEE-spoke-data/smol_llama-101M-midjourney-messages", "inference": false, "model_creator": "BEE-spoke-data", "pipeline_tag": "text-generation", "quantized_by": "afrideva", "widget": [{"example_title": "avocado chair", "text": "avocado chair"}, {"example_title": "potato", "text": "A mysterious potato"}]}
gguf generated_from_trainer ggml quantized q2_k q3_k_m q4_k_m q5_k_m q6_k q8_0 text-generation dataset:pszemraj/midjourney-messages-cleaned base_model:BEE-spoke-data/smol_llama-101M-midjourney-messages license:apache-2.0 region:us