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README.md

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+---
+base_model: []
+tags:
+- mergekit
+- merge
+
+---
+# Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using ./extra_hdd/Mixtral-8x7B-v0.1 as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* ./extra_hdd2/Mixtral-8x7B-Instruct-v0.1
+* ./extra_hdd/Mixtral-8x7B-v0.1-LimaRP-ZLoss
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: ./extra_hdd2/Mixtral-8x7B-Instruct-v0.1
+    parameters:
+      density: 0.5
+      weight: 1.0
+  - model: ./extra_hdd/Mixtral-8x7B-v0.1-LimaRP-ZLoss
+    parameters:
+      density: 0.5
+      weight: 0.5
+merge_method: dare_ties
+base_model: ./extra_hdd/Mixtral-8x7B-v0.1
+parameters:
+  #normalize: false
+  #int8_mask: true
+dtype: bfloat16
+
+```

config.json

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+{
+  "_name_or_path": "./extra_hdd/Mixtral-8x7B-v0.1",
+  "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": 8,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "router_aux_loss_coef": 0.02,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+models:
+  - model: ./extra_hdd2/Mixtral-8x7B-Instruct-v0.1
+    parameters:
+      density: 0.5
+      weight: 1.0
+  - model: ./extra_hdd/Mixtral-8x7B-v0.1-LimaRP-ZLoss
+    parameters:
+      density: 0.5
+      weight: 0.5
+merge_method: dare_ties
+base_model: ./extra_hdd/Mixtral-8x7B-v0.1
+parameters:
+  #normalize: false
+  #int8_mask: true
+dtype: bfloat16

model.safetensors.index.json

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