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---
license: apache-2.0
datasets:
- HuggingFaceTB/cosmopedia
- databricks/databricks-dolly-15k
- Open-Orca/OpenOrca
language:
- en
metrics:
- accuracy
library_name: transformers
pipeline_tag: text-generation
---
# WikiChat-v0.2
Training in progress model to have conversations.
The GGUFs uploaded are full FP32 precision.
Using OpenOrca GPT-4 data + cosmopedia for some extra data + dolly15k for instruct
## Model Details:
- 71.7M parameters (71,775,700)
- 8 attention heads
- 32 layers (34 layers on final model)
- 384 embeddings size
- 2048/8192/16384 context (please use 4x RoPE scaling, may train a 16k finetuned version later)
- Batch size 16
- llama.cpp (train-text-from-scratch)
## Prompt Format (Alpaca):
```
Instruction: {system}
Input: {prompt}
Response: {response}
```
Please structure your prompts in an instruct format for maximum performance.
## Training Details:
- 1x RTX 3070 8GB (Infrencing speed: 80tok/s, full GPU offload)
- 1x Ryzen 3 3700x
- 96gb RAM
- 10 iterations
- Loss Target = 2.5 to 3.0
- Approx 30 samples (>0.0001 epoches)
- Training data = Refer to OpenOrca page
## Notes:
The model isn't ready yet; this is to test tokenization of OpenOrca and a balance between training speed and model size
## Example output:
```
User: What is the square root of 4?
```
```
Assistant: The square root of 4 is 2.
``` |