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README.md

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+---
+license: cc-by-nc-4.0
+tags:
+- not-for-all-audiences
+- nsfw
+- merge
+---
+
+<!-- description start -->
+## Description
+
+This repo contains fp16 files of LewdGem-40B, a MoE model of the 4 best llama2 model of Undi95 and NeverSleep repo.
+
+Since I don't have a lot of time or ressource to train new model at the moment, I didn't wanted to let my repo dry, so I got the idea to make a MoE of my most liked/used ERP model (and the last Noromaid supporting Alpaca).
+
+I moved out correctly and I'm comfy in my new home, thank you all for the support!
+
+<!-- description end -->
+<!-- description start -->
+## Models used
+
+- [NeverSleep/Noromaid-13b-v0.3](https://huggingface.co/NeverSleep/Noromaid-13b-v0.3)
+- [Undi95/Xwin-MLewd-13B-V0.2](https://huggingface.co/Undi95/Xwin-MLewd-13B-V0.2)
+- [Undi95/Emerhyst-13B](https://huggingface.co/Undi95/Emerhyst-13B)
+- [Undi95/MLewdBoros-L2-13B](https://huggingface.co/Undi95/MLewdBoros-L2-13B)
+
+## Prompt template: Alpaca
+
+```
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{system prompt}
+
+### Input:
+{prompt}
+
+### Response:
+```
+
+If you want to support me, you can [here](https://ko-fi.com/undiai).

added_tokens.json

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+{
+  "[PAD]": 32000
+}

config.json

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+{
+    "_name_or_path": "Undi95/LewdGem",
+    "architectures": [
+        "MixtralForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "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": "mixtral",
+    "num_attention_heads": 40,
+    "num_experts_per_tok": 2,
+    "num_hidden_layers": 40,
+    "num_key_value_heads": 40,
+    "num_local_experts": 4,
+    "output_router_logits": false,
+    "pad_token_id": 0,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 10000.0,
+    "router_aux_loss_coef": 0.001,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "float16",
+    "transformers_version": "4.39.0.dev0",
+    "use_cache": false,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.0.15",
+        "bits": 6.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 100,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

model.safetensors.index.json

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