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Model: Undi95/ReMM-SLERP-L2-13B
Source: Original Platform

.gitattributes

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README.md

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+---
+license: cc-by-nc-4.0
+base_model:
+- TheBloke/Llama-2-13B-fp16
+- jondurbin/airoboros-l2-13b-2.1
+- NousResearch/Nous-Hermes-Llama2-13b
+- Undi95/ReML-L2-13B
+---
+Re:MythoMax (ReMM) is a recreation trial of the original [MythoMax-L2-B13](https://huggingface.co/Gryphe/MythoMax-L2-13b) with updated models.
+
+This merge use SLERP [TESTING] to merge ReML and Huginn v1.2.
+
+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"
+```
+
+Version of SLERP used is different to accept usage on notebook : https://github.com/Undi95/LLM-SLERP-MergeTest/tree/main (Thanks @Vali)
+
+<!-- description start -->
+## Description
+
+This repo contains fp16 files of ReMM-SLERP, a recreation of the original MythoMax, but updated and merged with SLERP.
+<!-- 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)
+<!-- 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
+# [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-SLERP-L2-13B)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 50.99   |
+| ARC (25-shot)         | 60.92          |
+| HellaSwag (10-shot)   | 83.56    |
+| MMLU (5-shot)         | 55.33         |
+| TruthfulQA (0-shot)   | 51.97   |
+| Winogrande (5-shot)   | 75.22   |
+| GSM8K (5-shot)        | 9.17        |
+| DROP (3-shot)         | 20.76         |

config.json

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+{
+  "_name_or_path": "The-Face-Of-Goonery_Huginn-13b-v1.2",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "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,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.1",
+  "use_cache": false,
+  "vocab_size": 32000
+}

configuration.json

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

generation_config.json

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+{
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+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.32.1",
+  "use_cache": false
+}

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special_tokens_map.json

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tokenizer_config.json

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+{
+  "bos_token": {
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+    "content": "<s>",
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+    "normalized": true,
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