初始化项目，由ModelHub XC社区提供模型

Model: Undi95/ReMM-Lion-13B
Source: Original Platform

.gitattributes

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README.md

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+---
+license: cc-by-nc-4.0
+---
+ReMM-Lion is a merge of ReMM (SLERP) with Pygmalion-2.
+
+This merge use SLERP method to merge Re:MM and Pygmalion-2.
+
+Command useds and explaination :
+```shell
+Due to hardware limitation, some merge was done in 2 part.
+
+- Recreate ReML : Mythologic (v2) (Chronos/Hermes/Airboros)
+=> Replacing Chronos by The-Face-Of-Goonery/Chronos-Beluga-v2-13bfp16 (0.30)
+=> Replacing Airoboros by jondurbin/airoboros-l2-13b-2.1 (last version) (0.40)
+=> Keeping NousResearch/Nous-Hermes-Llama2-13b (0.30)
+
+Part 1: python ties_merge.py TheBloke/Llama-2-13B-fp16 ./ReML-L2-13B-part1  --merge The-Face-Of-Goonery/Chronos-Beluga-v2-13bfp16 --density 0.42 --merge jondurbin/airoboros-l2-13b-2.1 --density 0.56 --cuda
+
+Part 2: python ties_merge.py TheBloke/Llama-2-13B-fp16 ./ReML-L2-13B --merge NousResearch/Nous-Hermes-Llama2-13b --density 0.30 --merge Undi95/ReML-L2-13B-part1 --density 0.70 --cuda
+
+With that :
+- Recreate ReMM : MythoMax (v2) (Mythologic/Huginn v1)
+=> Replacing Mythologic by the one above (0.5)
+=> Replacing Huginn by The-Face-Of-Goonery/Huginn-13b-v1.2 (hottest) (0.5)
+
+Part 3: python slerpmergelm.py "The-Face-Of-Goonery_Huginn-13b-v1.2" "Undi95_ReML-L2-13B" "result"
+
+With that :
+- ReMM-Lion-13B
+
+Part 4: python slerpmergelm.py "The-Face-Of-Goonery_Huginn-13b-v1.2" "Undi95_ReMM-S-Light" "result"
+```
+
+<!-- description start -->
+## Description
+
+This repo contains fp16 files of ReMM-Lion-13B.
+<!-- description end -->
+<!-- description start -->
+## Models used
+
+
+- TheBloke/Llama-2-13B-fp16 (base)
+- The-Face-Of-Goonery/Chronos-Beluga-v2-13bfp16
+- jondurbin/airoboros-l2-13b-2.1
+- NousResearch/Nous-Hermes-Llama2-13b
+- The-Face-Of-Goonery/Huginn-13b-v1.2
+- ReML-L2-13B (Private recreation trial of an updated Mythologic-L2-13B)
+- PygmalionAI/pygmalion-2-13b
+<!-- description end -->
+<!-- prompt-template start -->
+## Prompt template: Alpaca
+
+```
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{prompt}
+
+### Response:
+
+```
+
+Special thanks to Sushi kek

config.json

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+{
+  "_name_or_path": "PygmalionAI/pygmalion-2-13b",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "badwordsids": "[[29961], [14352], [24630], [29962], [11759], [15974], [5519], [25473], [18899], [25901], [7110], [9341], [13531], [518], [9310], [2636], [3366], [21069], [11970], [23098], [16733], [21298], [18173], [10846], [3816], [28513], [15625], [23192], [28166], [10062], [1385], [11724], [3108], [15555], [10834], [10370], [14330], [1822], [12436], [5262], [17094], [10725], [17077], [11424], [4197], [24406], [13359], [17531], [24566], [23076], [4514], [13192], [19942], [16261], [7072], [6024], [1402], [1839], [2033], [13970], [850], [5913], [28895], [5387], [8308], [24927], [5691], [12940], [19997], [18959], [11287], [16862], [4638], [22322], [29861], [21251], [14704], [17548], [12452], [17288], [23160], [24960], [8219], [18024], [5539], [7464], [27865], [29588], [20068], [19660], [27706], [22896], [24264], [12258], [2314], [4400], [5586], [12622], [6796], [7226], [21939], [18456], [14178], [21540], [21945], [14664], [16215], [10338], [17361], [7503], [13769], [26073], [9601], [26909], [7961], [8999], [20840], [16272], [21545], [3199], [10514], [5159], [22689], [6525], [20526], [27077], [18017]]",
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+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 40,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.33.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

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special_tokens_map.json

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+  "eos_token": "</s>",
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tokenizer_config.json

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+    "normalized": false,
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