LoneStriker
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Upload folder using huggingface_hub
Browse files- README.md +23 -0
- config.json +28 -0
- huggingface-metadata.txt +20 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00005.safetensors +3 -0
- output-00002-of-00005.safetensors +3 -0
- output-00003-of-00005.safetensors +3 -0
- output-00004-of-00005.safetensors +3 -0
- output-00005-of-00005.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +38 -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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---
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gguf quants: https://huggingface.co/Sao10K/Euryale-1.4-L2-70B-GGUF
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1.3, but better? I guess.
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Base Merged Model ratios adjusted.
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NSFL portion of Hesperus v1 dataset trained and applied.
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LimaRP merged in at a ~25% weight at the end.
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Subjectively better in some aspects eg. long form rp, worse than the other, eg. chat-style rps.
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overall a minor improvement in my eyes.
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1.5 will include Hesperus v2 dataset in its entirety.
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format: alpaca.
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config.json
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{
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"_name_or_path": "Euryale-1.4-L2-70B",
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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": 80,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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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/Sao10K/Euryale-1.4-L2-70B
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branch: main
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download date: 2023-11-26 22:58:21
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sha256sum:
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model.safetensors.index.json
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