LoneStriker
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Browse files- README.md +59 -0
- config.json +27 -0
- huggingface-metadata.txt +29 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00011.safetensors +3 -0
- output-00002-of-00011.safetensors +3 -0
- output-00003-of-00011.safetensors +3 -0
- output-00004-of-00011.safetensors +3 -0
- output-00005-of-00011.safetensors +3 -0
- output-00006-of-00011.safetensors +3 -0
- output-00007-of-00011.safetensors +3 -0
- output-00008-of-00011.safetensors +3 -0
- output-00009-of-00011.safetensors +3 -0
- output-00010-of-00011.safetensors +3 -0
- output-00011-of-00011.safetensors +3 -0
- special_tokens_map.json +28 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
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---
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license: llama2
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language:
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- en
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pipeline_tag: conversational
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---
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# Goliath 120B
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An auto-regressive causal LM created by combining 2x finetuned [Llama-2 70B](https://huggingface.co/meta-llama/llama-2-70b-hf) into one.
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Please check out the quantized formats provided by [@TheBloke](https:///huggingface.co/TheBloke) and [@Panchovix](https://huggingface.co/Panchovix):
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- [GGUF](https://huggingface.co/TheBloke/goliath-120b-GGUF) (llama.cpp)
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- [GPTQ](https://huggingface.co/TheBloke/goliath-120b-GPTQ) (KoboldAI, TGW, Aphrodite)
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- [AWQ](https://huggingface.co/TheBloke/goliath-120b-AWQ) (TGW, Aphrodite, vLLM)
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- [Exllamav2](https://huggingface.co/Panchovix/goliath-120b-exl2) (TGW, KoboldAI)
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# Prompting Format
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Both Vicuna and Alpaca will work, but due the initial and final layers belonging primarily to Xwin, I expect Vicuna to work the best.
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# Merge process
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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).
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The layer ranges used are as follows:
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```yaml
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- range 0, 16
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Xwin
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- range 8, 24
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Euryale
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- range 17, 32
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Xwin
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- range 25, 40
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Euryale
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- range 33, 48
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Xwin
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- range 41, 56
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Euryale
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- range 49, 64
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Xwin
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- range 57, 72
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Euryale
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- range 65, 80
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Xwin
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```
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# Screenshots
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/635567189c72a7e742f1419c/Cat8_Rimaz6Ni7YhQiiGB.png)
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# Benchmarks
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Coming soon.
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# Acknowledgements
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Credits goes to [@chargoddard](https://huggingface.co/chargoddard) for developing the framework used to merge the model - [mergekit](https://github.com/cg123/mergekit).
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Special thanks to [@Undi95](https://huggingface.co/Undi95) for helping with the merge ratios.
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config.json
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{
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"_name_or_path": "alpindale/goliath-120b",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 8192,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 137,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.35.0",
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"use_cache": true,
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"vocab_size": 32000
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}
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huggingface-metadata.txt
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url: https://huggingface.co/alpindale/goliath-120b
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branch: main
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download date: 2023-11-15 02:47:12
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sha256sum:
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