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
+*.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,56 @@
 ---
+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
+
+This is an attempt at 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.
+
+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
+
+```

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "grimjim/kukulemon-7B",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "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": "4.39.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+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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