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--- |
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base_model: appvoid/palmer-x-002 |
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datasets: |
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- appvoid/no-prompt-15k |
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inference: false |
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language: |
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- en |
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license: apache-2.0 |
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model_creator: appvoid |
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model_name: palmer-x-002 |
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pipeline_tag: text-generation |
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quantized_by: afrideva |
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tags: |
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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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--- |
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# appvoid/palmer-x-002-GGUF |
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Quantized GGUF model files for [palmer-x-002](https://huggingface.co/appvoid/palmer-x-002) from [appvoid](https://huggingface.co/appvoid) |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [palmer-x-002.fp16.gguf](https://huggingface.co/afrideva/palmer-x-002-GGUF/resolve/main/palmer-x-002.fp16.gguf) | fp16 | 2.20 GB | |
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| [palmer-x-002.q2_k.gguf](https://huggingface.co/afrideva/palmer-x-002-GGUF/resolve/main/palmer-x-002.q2_k.gguf) | q2_k | 483.12 MB | |
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| [palmer-x-002.q3_k_m.gguf](https://huggingface.co/afrideva/palmer-x-002-GGUF/resolve/main/palmer-x-002.q3_k_m.gguf) | q3_k_m | 550.82 MB | |
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| [palmer-x-002.q4_k_m.gguf](https://huggingface.co/afrideva/palmer-x-002-GGUF/resolve/main/palmer-x-002.q4_k_m.gguf) | q4_k_m | 668.79 MB | |
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| [palmer-x-002.q5_k_m.gguf](https://huggingface.co/afrideva/palmer-x-002-GGUF/resolve/main/palmer-x-002.q5_k_m.gguf) | q5_k_m | 783.02 MB | |
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| [palmer-x-002.q6_k.gguf](https://huggingface.co/afrideva/palmer-x-002-GGUF/resolve/main/palmer-x-002.q6_k.gguf) | q6_k | 904.39 MB | |
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| [palmer-x-002.q8_0.gguf](https://huggingface.co/afrideva/palmer-x-002-GGUF/resolve/main/palmer-x-002.q8_0.gguf) | q8_0 | 1.17 GB | |
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## Original Model Card: |
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 |
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# x-002 |
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This is an incremental model update on `palmer-002` using dpo technique. X means dpo+sft spinoff. |
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### evaluation |
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|Model| ARC_C| HellaSwag| PIQA| Winogrande| |
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|------|-----|-----------|------|-------------| |
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|tinyllama-2t| 0.2807| 0.5463| 0.7067| 0.5683| |
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|palmer-001| 0.2807| 0.5524| 0.7106| 0.5896| |
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|tinyllama-2.5t|0.3191|0.5896| 0.7307| 0.5872| |
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|palmer-002|**0.3242**|**0.5956**|0.7345|0.5888| |
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|palmer-x-002|0.3224|0.5941|**0.7383**|**0.5912**| |
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### training |
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~500 dpo samples as experimental data to check on improvements. It seems like data is making it better on some benchmarks while also degrading quality on others. |
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### prompt |
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``` |
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no prompt |
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``` |
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As you can notice, the model actually completes by default questions that are the most-likely to be asked, which is good because most people will use it to answer as a chatbot. |
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