Initial release

README.md

@@ -1,3 +1,46 @@
 ---
+base_model:
+- grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
+- KoboldAI/Mistral-7B-Erebus-v3
+library_name: transformers
+tags:
+- mergekit
+- merge
+- not-for-all-audiences
 license: apache-2.0
+pipeline_tag: text-generation
 ---
+# koboldai-erebus-extended-32k-7B
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+Effective context length has been extended.
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B](https://huggingface.co/grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [KoboldAI/Mistral-7B-Erebus-v3](https://huggingface.co/KoboldAI/Mistral-7B-Erebus-v3)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
+dtype: bfloat16
+merge_method: task_arithmetic
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model: grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
+  - layer_range: [0, 32]
+    model: KoboldAI/Mistral-7B-Erebus-v3
+    parameters:
+      weight: 0.4
+
+```

config.json

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+{
+  "_name_or_path": "grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B",
+  "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": 100000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+base_model: grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
+dtype: bfloat16
+merge_method: task_arithmetic
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model: grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
+  - layer_range: [0, 32]
+    model: KoboldAI/Mistral-7B-Erebus-v3
+    parameters:
+      weight: 0.4

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tokenizer_config.json

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