--- | |
license: llama2 | |
language: | |
- en | |
pipeline_tag: conversational | |
--- | |
# Goliath 120B | |
An auto-regressive causal LM created by combining 2x finetuned [Llama-2 70B](https://huggingface.co/meta-llama/llama-2-70b-hf) into one. | |
Please check out the quantized formats provided by [@TheBloke](https:///huggingface.co/TheBloke) and [@Panchovix](https://huggingface.co/Panchovix): | |
- [GGUF](https://huggingface.co/TheBloke/goliath-120b-GGUF) (llama.cpp) | |
- [GPTQ](https://huggingface.co/TheBloke/goliath-120b-GPTQ) (KoboldAI, TGW, Aphrodite) | |
- [AWQ](https://huggingface.co/TheBloke/goliath-120b-AWQ) (TGW, Aphrodite, vLLM) | |
- [Exllamav2](https://huggingface.co/Panchovix/goliath-120b-exl2) (TGW, KoboldAI) | |
# Prompting Format | |
Both Vicuna and Alpaca will work, but due the initial and final layers belonging primarily to Xwin, I expect Vicuna to work the best. | |
# Merge process | |
The models used in the merge are [Xwin](https://huggingface.co/Xwin-LM/Xwin-LM-70B-V0.1) and [Euryale](https://huggingface.co/Sao10K/Euryale-1.3-L2-70B). | |
The layer ranges used are as follows: | |
```yaml | |
- range 0, 16 | |
Xwin | |
- range 8, 24 | |
Euryale | |
- range 17, 32 | |
Xwin | |
- range 25, 40 | |
Euryale | |
- range 33, 48 | |
Xwin | |
- range 41, 56 | |
Euryale | |
- range 49, 64 | |
Xwin | |
- range 57, 72 | |
Euryale | |
- range 65, 80 | |
Xwin | |
``` | |
# Screenshots | |
![image/png](https://cdn-uploads.huggingface.co/production/uploads/635567189c72a7e742f1419c/Cat8_Rimaz6Ni7YhQiiGB.png) | |
# Benchmarks | |
Coming soon. | |
# Acknowledgements | |
Credits goes to [@chargoddard](https://huggingface.co/chargoddard) for developing the framework used to merge the model - [mergekit](https://github.com/cg123/mergekit). | |
Special thanks to [@Undi95](https://huggingface.co/Undi95) for helping with the merge ratios. |