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goliath-120b-2.9bpw-h6-exl2
LoneStriker/goliath-120b-2.9bpw-h6-exl2
goliath-120b-2.9bpw-h6-exl2 is a text generation model from LoneStriker. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama2.
An auto-regressive causal LM created by combining 2x finetuned Llama-2 70B into one.
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Repo size
43.3 GB
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.safetensors43.3 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama2
- Model type
- llama
- Access
- Public
- Created
- Dec 27, 2023
- Updated
- Dec 27, 2023
- SHA
- 9c5deedc
Try a prompt
Model card
From the Hugging Face model README
Goliath 120B
An auto-regressive causal LM created by combining 2x finetuned Llama-2 70B into one.
Please check out the quantized formats provided by @TheBloke and @Panchovix:
- GGUF (llama.cpp)
- GPTQ (KoboldAI, TGW, Aphrodite)
- AWQ (TGW, Aphrodite, vLLM)
- Exllamav2 (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 and Euryale.
The layer ranges used are as follows:
- 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
Benchmarks
Coming soon.
Acknowledgements
Credits goes to @chargoddard for developing the framework used to merge the model - mergekit.
Special thanks to @Undi95 for helping with the merge ratios.
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama2
- Languages
- en
- Created
- Dec 27, 2023
- Updated
- Dec 27, 2023