---
inference: false
license: other
---

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# rewoo's Planner 7B GGML

These files are fp16 pytorch format model files for [rewoo's Planner 7B](https://huggingface.co/rewoo/planner_7B).

They are the result of merging the LoRA adapter at the above repo with the base LLaMa 7B model.

## Repositories available

* [4-bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/Planner-7B-GPTQ)
* [4-bit, 5-bit, and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/Planner-7B-GGML)
* [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/TheBloke/Planner-7B-fp16)

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[TheBloke AI's Discord server](https://discord.gg/Jq4vkcDakD)

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Thanks to the [chirper.ai](https://chirper.ai) team!

I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.

If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.

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**Special thanks to**: Luke from CarbonQuill, Aemon Algiz, Dmitriy Samsonov.

**Patreon special mentions**: Derek Yates, Sean Connelly, Luke, Nathan LeClaire, Trenton Dambrowitz, Mano Prime, David Flickinger, vamX, Nikolai Manek, senxiiz, Khalefa Al-Ahmad, Illia Dulskyi, trip7s trip, Jonathan Leane, Talal Aujan, Artur Olbinski, Cory Kujawski, Joseph William Delisle, Pyrater, Oscar Rangel, Lone Striker, Luke Pendergrass, Eugene Pentland, Johann-Peter Hartmann.

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# Original model card: rewoo's Planner 7B


Alpaca Lora adapter weight fine-tuned on following instruction dataset.

https://huggingface.co/datasets/rewoo/planner_instruction_tuning_2k/blob/main/README.md

Training script: borrowed from the official [Alpaca-LoRA](https://github.com/tloen/alpaca-lora) implementation

We use following parameter.

```
python finetune.py \
    --base_model 'decapoda-research/llama-7b-hf' \
    --data_path 'rewoo/planner_instruction_tuning_2k' \
    --output_dir './lora-alpaca-planner' \
    --batch_size 128 \
    --micro_batch_size 8 \
    --num_epochs 10 \
    --learning_rate 1e-4 \
    --cutoff_len 1024 \
    --val_set_size 200 \
    --lora_r 8 \
    --lora_alpha 16 \
    --lora_dropout 0.05 \
    --lora_target_modules '[q_proj,v_proj]' \
    --train_on_inputs \
    --group_by_length \
    --resume_from_checkpoint 'tloen/alpaca-lora-7b'
```