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README.md

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+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# midnight-miqu-70b-slerp-v0.2
+
+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 SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* /home/llm/mergequant/models/BASE/152334H_miqu-1-70b-sf
+* /home/llm/mergequant/models/mr-70b-v2.0.3
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: /home/llm/mergequant/models/BASE/152334H_miqu-1-70b-sf
+  - model: /home/llm/mergequant/models/mr-70b-v2.0.3
+merge_method: slerp
+base_model: /home/llm/mergequant/models/BASE/152334H_miqu-1-70b-sf
+parameters:
+  t:
+    - value: [0, 0, 0.2, 0.3, 0.4, 0.5, 0.4, 0.3, 0.2, 0, 0]
+  embed_slerp: true
+dtype: float16
+tokenizer_source: model:/home/llm/mergequant/models/BASE/152334H_miqu-1-70b-sf
+
+```

config.json

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+{
+  "_name_or_path": "/home/llm/mergequant/models/BASE/152334H_miqu-1-70b-sf",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 8192,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 32764,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 80,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+models:
+  - model: /home/llm/mergequant/models/BASE/152334H_miqu-1-70b-sf
+  - model: /home/llm/mergequant/models/mr-70b-v2.0.3
+merge_method: slerp
+base_model: /home/llm/mergequant/models/BASE/152334H_miqu-1-70b-sf
+parameters:
+  t:
+    - value: [0, 0, 0.2, 0.3, 0.4, 0.5, 0.4, 0.3, 0.2, 0, 0]
+  embed_slerp: true
+dtype: float16
+tokenizer_source: model:/home/llm/mergequant/models/BASE/152334H_miqu-1-70b-sf

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