Upload MixtralForCausalLM

README.md

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 ---
 license: apache-2.0
 ---
-## T3Q-MSlerp-13B
-
-T3Q-MSlerp-7Bx2 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
-* [zhengr/MixTAO-7Bx2-MoE-v8.1](https://huggingface.co/zhengr/MixTAO-7Bx2-MoE-v8.1)
-* [yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B](https://huggingface.co/yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B)
-  
-
-**Model Developers** Chihoon Lee(chlee10), T3Q
-
-  
-```yaml
-  
-  slices:
-      - sources:
-        - model: zhengr/MixTAO-7Bx2-MoE-v8.1
-          layer_range: [0, 32]
-        - model: yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B
-          layer_range: [0, 32]
-  
-  merge_method: slerp
-  base_model: zhengr/MixTAO-7Bx2-MoE-v8.1
-  
-  parameters:
-   t:
-      - filter: self_attn
-        value: [0, 0.5, 0.3, 0.7, 1]
-      - filter: mlp
-        value: [1, 0.5, 0.7, 0.3, 0]
-      - value: 0.5 # fallback for rest of tensors
-      
-  dtype: float16
-
-```

config.json

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+{
+  "_name_or_path": "./merged",
+  "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": 2,
+  "output_router_logits": false,
+  "pad_token_id": 2,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "unsloth_version": "2024.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 2,
+  "transformers_version": "4.38.2"
+}

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