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--- |
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base_model: BEE-spoke-data/smol_llama-101M-midjourney-messages |
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datasets: |
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- pszemraj/midjourney-messages-cleaned |
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inference: false |
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license: apache-2.0 |
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metrics: |
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- accuracy |
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model_creator: BEE-spoke-data |
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model_name: smol_llama-101M-midjourney-messages |
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pipeline_tag: text-generation |
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quantized_by: afrideva |
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tags: |
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- generated_from_trainer |
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- gguf |
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- ggml |
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- quantized |
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- q2_k |
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- q3_k_m |
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- q4_k_m |
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- q5_k_m |
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- q6_k |
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- q8_0 |
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widget: |
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- example_title: avocado chair |
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text: avocado chair |
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- example_title: potato |
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text: A mysterious potato |
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--- |
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# BEE-spoke-data/smol_llama-101M-midjourney-messages-GGUF |
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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) |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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| [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 | |
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## Original Model Card: |
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# smol_llama-101M-midjourney-messages |
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Given a 'partial prompt' for a text2image model, this generates additional relevant text to include for a full prompt. |
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## Model description |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.8431 |
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- Accuracy: 0.4682 |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.00025 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 17056 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 |
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- lr_scheduler_type: inverse_sqrt |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 1.0 |
