Initial release.

.gitattributes

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 *.bz2 filter=lfs diff=lfs merge=lfs -text
 *.ckpt filter=lfs diff=lfs merge=lfs -text
 *.ftz filter=lfs diff=lfs merge=lfs -text
+*.gguf filter=lfs diff=lfs merge=lfs -text
 *.gz filter=lfs diff=lfs merge=lfs -text
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README.md

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 ---
+base_model:
+- grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
+- grimjim/kukulemon-7B
+library_name: transformers
+tags:
+- mergekit
+- merge
 license: cc-by-nc-4.0
+
 ---
+# kukulemon-32K-7B-GGUF
+
+These are GGUF quants of a proof of concept a merge capable of functional 32K context length while being derived from [kukulemon-7B](https://huggingface.co/grimjim/kukulemon-7B). 
+The functioning 32K context window has been folded in via a merger of Mistral 7B v0.2 models.
+SLERP merge appears to be viable, but DARE-TIES merge risks producing a damaged model and is therefore not recommended.
+
+Although the resulting model natively supports Alpaca prompt, I've tested with ChatML prompts successfuly. Medium temperature (around 1) with low minP (e.g., 0.01) works with ChatML prompts in my most recent testing.
+
+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:
+* [grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B](https://huggingface.co/grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B)
+* [grimjim/kukulemon-7B](https://huggingface.co/grimjim/kukulemon-7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: grimjim/kukulemon-7B
+        layer_range: [0, 32]
+      - model: grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
+        layer_range: [0, 32]
+# or, the equivalent models: syntax:
+# models:
+merge_method: slerp
+base_model: grimjim/kukulemon-7B
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5 # fallback for rest of tensors
+dtype: bfloat16
+
+```

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