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README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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datasets:
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- HuggingFaceTB/cosmopedia
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- databricks/databricks-dolly-15k
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- Open-Orca/OpenOrca
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language:
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- en
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metrics:
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- accuracy
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library_name: transformers
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pipeline_tag: text-generation
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---
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# WikiChat-v0.2
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Training in progress model to have conversations.
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The GGUFs uploaded are full FP32 precision.
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Using OpenOrca GPT-4 data + cosmopedia for some extra data + dolly15k for instruct
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## Model Details:
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- 40M parameters
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- 8 attention heads
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- 32 layers
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- 384 embeddings size
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- 2048/8192 context (please use 4x RoPE scaling)
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## Prompt Format (Alpaca):
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```
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Instruction: {system}
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Input: {prompt}
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Response: {response}
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```
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Please structure your prompts in an instruct format for maximum performance.
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## Training Details:
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- 1x RTX 3070 8GB (Infrencing speed: 80tok/s, full GPU offload)
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- 1x Ryzen 3 3700x
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- 96gb RAM
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- 10 iterations
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- Loss Target = 2.5 to 3.0
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- Approx 30 samples (>0.0001 epoches)
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- Training data = Refer to OpenOrca page
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## Notes:
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The model isn't ready yet; this is to test tokenization of OpenOrca and a balance between training speed and model size
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## Example output:
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```
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User: What is the square root of 4?
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```
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```
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Assistant: The square root of 4 is 2.
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```
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