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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+gemma-merged-one-layer-only - AWQ
+- Model creator: https://huggingface.co/choprahetarth/
+- Original model: https://huggingface.co/choprahetarth/gemma-merged-one-layer-only/
+
+
+
+
+Original model description:
+---
+base_model:
+- google/gemma-2-2b
+- google/gemma-2-2b-it
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# Untitled Model (1)
+
+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 [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: google/gemma-2-2b
+dtype: bfloat16
+merge_method: ties
+parameters:
+  int8_mask: 1.0
+  normalize: 1.0
+slices:
+- sources:
+  - layer_range: [0, 26]
+    model: google/gemma-2-2b
+  - layer_range: [0, 26]
+    model: google/gemma-2-2b-it
+    parameters:
+      density:
+      - filter: self_attn.o_proj.9
+        value: 1.0
+      - value: 0.001
+      weight:
+      - value: 1.0
+tokenizer_source: union
+```
+
+