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Model: Undi95/MM-ReMM-L2-20B
Source: Original Platform

.gitattributes

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README.md

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+---
+license: cc-by-nc-4.0
+---
+
+Merge:
+```shell
+layer_slices:
+  - model: Gryphe/MythoMax-L2-13b
+    start: 0
+    end: 16
+  - model: Undi95/MM-ReMM-L2-20B-Part1
+    start: 8
+    end: 20
+  - model: Gryphe/MythoMax-L2-13b
+    start: 17
+    end: 32
+  - model: Undi95/MM-ReMM-L2-20B-Part1
+    start: 21
+    end: 40
+```
+
+<!-- description start -->
+## Models used
+
+- Gryphe/MythoMax-L2-13b
+- Undi95/ReMM-v2.1-L2-13B
+<!-- description end -->
+
+Part1 = ReMM v2.1 merged /w MythoMax low weight to keep consistency. I call this "dilution" and result show consistency and coherency without repeat/loop beside the small amount of duplicated datas.
+
+## Prompt template: Alpaca
+
+```
+Below is an instruction that describes a task. Write a response that completes the request.
+
+### Instruction:
+{prompt}
+
+### Response:
+```
+# [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__MM-ReMM-L2-20B)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 51.14   |
+| ARC (25-shot)         | 60.84          |
+| HellaSwag (10-shot)   | 85.18    |
+| MMLU (5-shot)         | 56.45         |
+| TruthfulQA (0-shot)   | 53.33   |
+| Winogrande (5-shot)   | 75.77   |
+| GSM8K (5-shot)        | 7.73        |
+| DROP (3-shot)         | 18.66         |

config.json

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+{
+  "_name_or_path": "Undi95/ReMM-v2.1-L2-13B",
+  "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": 62,
+  "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": "4.33.2",
+  "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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+  "pad_token_id": 0,
+  "temperature": 0.9,
+  "top_p": 0.6,
+  "transformers_version": "4.32.0.dev0"
+}

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special_tokens_map.json

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tokenizer_config.json

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