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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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 *.zst filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -0,0 +1,50 @@
+---
+base_model:
+- elinas/Chronos-Gold-12B-1.0
+- ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
+- nbeerbower/Mistral-Nemo-Prism-12B
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merge
+
+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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [nbeerbower/Mistral-Nemo-Prism-12B](https://huggingface.co/nbeerbower/Mistral-Nemo-Prism-12B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [elinas/Chronos-Gold-12B-1.0](https://huggingface.co/elinas/Chronos-Gold-12B-1.0)
+* [ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: nbeerbower/Mistral-Nemo-Prism-12B
+    #no parameters necessary for base model
+  - model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: elinas/Chronos-Gold-12B-1.0
+    parameters:
+      density: 0.5
+      weight: 0.5
+
+merge_method: ties
+base_model: nbeerbower/Mistral-Nemo-Prism-12B
+parameters:
+  normalize: false
+  int8_mask: true
+dtype: float16
+```

config.json

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+{
+  "_name_or_path": "nbeerbower/Mistral-Nemo-Prism-12B",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 4,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 1024000,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.46.2",
+  "use_cache": false,
+  "vocab_size": 131072
+}

mergekit_config.yml

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+models:
+  - model: nbeerbower/Mistral-Nemo-Prism-12B
+    #no parameters necessary for base model
+  - model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: elinas/Chronos-Gold-12B-1.0
+    parameters:
+      density: 0.5
+      weight: 0.5
+
+merge_method: ties
+base_model: nbeerbower/Mistral-Nemo-Prism-12B
+parameters:
+  normalize: false
+  int8_mask: true
+dtype: float16

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