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Model: Undi95/ReMM-v2.2-L2-13B
Source: Original Platform

.gitattributes

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README.md

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+---
+license: cc-by-nc-4.0
+---
+
+Re:MythoMax v2.2 (ReMM v2.2) is a recreation trial of the original [MythoMax-L2-B13](https://huggingface.co/Gryphe/MythoMax-L2-13b) with updated models.
+
+This merge use SLERP merging method to merge ReML v2.2 and Huginn v1.2.
+
+Explaination :
+```shell
+- ReML-v2.2: (Chronos-Beluga v2/Hermes/Airboros 2.2)
+=> Keeping The-Face-Of-Goonery/Chronos-Beluga-v2-13bfp16
+=> Replacing jondurbin/airoboros-l2-13b-2.2 by jondurbin/airoboros-l2-13b-2.2.1 (last version)
+=> Keeping NousResearch/Nous-Hermes-Llama2-13b
+
+With that :
+- ReMM-v2.2: (ReML/Huginn v1.2)
+=> Replacing ReMM by the one above (ReML v2.1)
+=> Keeping The-Face-Of-Goonery/Huginn-13b-v1.2 (hottest)
+```
+
+<!-- description start -->
+## Description
+
+This repo contains fp16 files of ReMM v2.1, a recreation of the original MythoMax, but updated and merged with SLERP.
+<!-- description end -->
+<!-- description start -->
+## Models used
+
+
+- The-Face-Of-Goonery/Chronos-Beluga-v2-13bfp16
+- jondurbin/airoboros-l2-13b-2.2.1
+- NousResearch/Nous-Hermes-Llama2-13b
+- The-Face-Of-Goonery/Huginn-13b-v1.2
+- ReML-v2.1-L2-13B (Private recreation trial of an updated Mythologic-L2-13B)
+<!-- 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.
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__ReMM-v2.2-L2-13B)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 50.45   |
+| ARC (25-shot)         | 61.26          |
+| HellaSwag (10-shot)   | 84.16    |
+| MMLU (5-shot)         | 56.22         |
+| TruthfulQA (0-shot)   | 51.35   |
+| Winogrande (5-shot)   | 75.61   |
+| GSM8K (5-shot)        | 14.03        |
+| DROP (3-shot)         | 10.56         |

added_tokens.json

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config.json

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+    "LlamaForCausalLM"
+  ],
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+  "hidden_act": "silu",
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+  "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,
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+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.33.2",
+  "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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tokenizer_config.json

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