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.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

@@ -0,0 +1,51 @@
+---
+base_model:
+- Sumail/Alchemist_06_2b
+- deepnetguy/gemma-70
+- zzttbrdd/sn6_01_new
+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 [Sumail/Alchemist_06_2b](https://huggingface.co/Sumail/Alchemist_06_2b) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [deepnetguy/gemma-70](https://huggingface.co/deepnetguy/gemma-70)
+* [zzttbrdd/sn6_01_new](https://huggingface.co/zzttbrdd/sn6_01_new)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+models:
+  - model: Sumail/Alchemist_06_2b
+    # no parameters necessary for base model
+  - model: zzttbrdd/sn6_01_new
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: deepnetguy/gemma-70
+    parameters:
+      density: 0.5
+      weight: 0.3
+merge_method: ties
+base_model: Sumail/Alchemist_06_2b
+parameters:
+  normalize: true
+dtype: bfloat16
+
+
+```

config.json

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+{
+  "_name_or_path": "Sumail/Alchemist_06_2b",
+  "architectures": [
+    "GemmaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 204,
+  "eos_token_id": 213,
+  "head_dim": 256,
+  "hidden_act": "gelu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 18,
+  "num_key_value_heads": 1,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.2",
+  "use_cache": false,
+  "vocab_size": 256000
+}

mergekit_config.yml

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+
+models:
+  - model: Sumail/Alchemist_06_2b
+    # no parameters necessary for base model
+  - model: zzttbrdd/sn6_01_new
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: deepnetguy/gemma-70
+    parameters:
+      density: 0.5
+      weight: 0.3
+merge_method: ties
+base_model: Sumail/Alchemist_06_2b
+parameters:
+  normalize: true
+dtype: bfloat16
+

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