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README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- safetensors
+- mixtral
+---
+
+I prefer this one instead of v1 since it's a bit more creative and _smart_, understand the story better. This use some different models from the v1 but perform very close to it (I guess since I used the same model for the base?). And yeah, I'm using this as daily model for RP (llama 3 is smart but not creative enough for RP, I think because lack of RP and _ERP_ data in their training set? idk.) 
+
+
+Testing done.
+
+It performs really well in complex scenario and follows the character card quite well. The char card and previous message can affect a lot to the next reply style.
+
+The main idea is instead of _merging_ models to create new model, I try to put these best model into mixtral so it can work together. And the result is good, every model has its uniqueness and strength.
+
+Downside? it only support 8k (8192) context length...
+
+Alpaca prompting format.

config.json

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+{
+    "_name_or_path": "/content/InfinityRP",
+    "architectures": [
+        "MixtralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 32768,
+    "model_type": "mixtral",
+    "num_attention_heads": 32,
+    "num_experts_per_tok": 2,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 8,
+    "num_local_experts": 4,
+    "output_router_logits": false,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 10000.0,
+    "router_aux_loss_coef": 0.001,
+    "router_jitter_noise": 0.0,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.40.0.dev0",
+    "use_cache": true,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.2.3",
+        "bits": 4.6,
+        "head_bits": 8,
+        "calibration": {
+            "rows": 100,
+            "length": 2048,
+            "dataset": "dataset"
+        }
+    }
+}

mergekit_moe_config.yml

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+base_model: /content/InfinityRP
+gate_mode: random
+dtype: bfloat16 # output dtype (float32, float16, or bfloat16)
+## (optional)
+experts_per_token: 2
+experts:
+  - source_model: /content/Aurav2
+    positive_prompts: []
+  - source_model: /content/Spice
+    positive_prompts: []
+  - source_model: /content/InfinityRP
+    positive_prompts: []
+  - source_model: /content/DaCo
+    positive_prompts: []

model.safetensors.index.json

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