Initial release

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+base_model:
+- grimjim/mistralai-Mistral-Nemo-Base-2407
+- grimjim/mistralai-Mistral-Nemo-Instruct-2407
+- grimjim/magnum-consolidatum-v1-12b
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- mergekit
+- merge
+license: apache-2.0
+---
+# Magnolia-v2-12B
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+This model essentially a rebuild of v1, using task arithmetic instead of SLERP.
+Of note, Mistral Nemo Base was used as the base model for task arithmetic, rather than Instruct or another fine-tune.
+Furthermore, max_position_embeddings was reduced to 131072, down from 1000000, as the model was only trained on up to 131072.
+Tested with temperature 1.0 and minP 0.01; temperature can be reduced (briefly tested at 0.45) if the model is too aggressively creative/hallucinatory.
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [grimjim/mistralai-Mistral-Nemo-Base-2407](https://huggingface.co/grimjim/mistralai-Mistral-Nemo-Base-2407) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [grimjim/mistralai-Mistral-Nemo-Instruct-2407](https://huggingface.co/grimjim/mistralai-Mistral-Nemo-Instruct-2407)
+* [grimjim/magnum-consolidatum-v1-12b](https://huggingface.co/grimjim/magnum-consolidatum-v1-12b)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: grimjim/mistralai-Mistral-Nemo-Base-2407
+dtype: bfloat16
+merge_method: task_arithmetic
+parameters:
+  normalize: false
+slices:
+- sources:
+  - layer_range: [0, 40]
+    model: grimjim/mistralai-Mistral-Nemo-Base-2407
+  - layer_range: [0, 40]
+    model: grimjim/mistralai-Mistral-Nemo-Instruct-2407
+    parameters:
+      weight: 0.9
+  - layer_range: [0, 40]
+    model: grimjim/magnum-consolidatum-v1-12b
+    parameters:
+      weight: 0.1
+
+```

config.json

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+{
+  "_name_or_path": "grimjim/Magnolia-v2-12B",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "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": "bfloat16",
+  "transformers_version": "4.46.3",
+  "use_cache": true,
+  "vocab_size": 131072
+}

mergekit_config.yml

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+base_model: grimjim/mistralai-Mistral-Nemo-Base-2407
+dtype: bfloat16
+merge_method: task_arithmetic
+parameters:
+  normalize: false
+slices:
+- sources:
+  - layer_range: [0, 40]
+    model: grimjim/mistralai-Mistral-Nemo-Base-2407
+  - layer_range: [0, 40]
+    model: grimjim/mistralai-Mistral-Nemo-Instruct-2407
+    parameters:
+      weight: 0.9
+  - layer_range: [0, 40]
+    model: grimjim/magnum-consolidatum-v1-12b
+    parameters:
+      weight: 0.1

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