初始化项目，由ModelHub XC社区提供模型

Model: TheBloke/Planner-7B-fp16
Source: Original Platform

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README.md

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+---
+inference: false
+license: other
+---
+
+<!-- header start -->
+<div style="width: 100%;">
+    <img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<div style="display: flex; justify-content: space-between; width: 100%;">
+    <div style="display: flex; flex-direction: column; align-items: flex-start;">
+        <p><a href="https://discord.gg/Jq4vkcDakD">Chat & support: my new Discord server</a></p>
+    </div>
+    <div style="display: flex; flex-direction: column; align-items: flex-end;">
+        <p><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? TheBloke's Patreon page</a></p>
+    </div>
+</div>
+<!-- header end -->
+
+# 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)
+
+<!-- footer start -->
+## Discord
+
+For further support, and discussions on these models and AI in general, join us at:
+
+[TheBloke AI's Discord server](https://discord.gg/Jq4vkcDakD)
+
+## Thanks, and how to contribute.
+
+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.
+
+Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.
+
+* Patreon: https://patreon.com/TheBlokeAI
+* Ko-Fi: https://ko-fi.com/TheBlokeAI
+
+**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.
+
+Thank you to all my generous patrons and donaters!
+
+<!-- footer end -->
+
+# 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'
+```

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+  "_name_or_path": "/workspace/process/lora_base/huggyllama_llama-7b",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "max_position_embeddings": 2048,
+  "max_sequence_length": 2048,
+  "model_type": "llama",
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+  "num_hidden_layers": 32,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.30.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

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+  "transformers_version": "4.30.0.dev0"
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