model upload

README.md

@@ -1,3 +1,42 @@
 ---
-license: apache-2.0
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
 ---
+# Ninja-v1-RP-expressive-breadcrumbs
+
+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 breadcrumbs_ties merge method using ./Ninja-v1-RP as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* ./Antler-7B-MS
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: ./Ninja-v1-RP
+    # no parameters necessary for base model
+  - model: ./Antler-7B-MS
+    parameters:
+      weight: 0.5
+merge_method: breadcrumbs_ties
+base_model: ./Ninja-v1-RP
+dtype: bfloat16
+tokenizer_source: union
+parameters:
+    density: 0.9
+    gamma: 0.01
+
+```

config.json

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+{
+  "_name_or_path": "./Ninja-v1-RP",
+  "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": 4096,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+models:
+  - model: ./Ninja-v1-RP
+    # no parameters necessary for base model
+  - model: ./Antler-7B-MS
+    parameters:
+      weight: 0.5
+merge_method: breadcrumbs_ties
+base_model: ./Ninja-v1-RP
+dtype: bfloat16
+tokenizer_source: union
+parameters:
+    density: 0.9
+    gamma: 0.01

model-00001-of-00003.safetensors

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model.safetensors.index.json

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special_tokens_map.json

@@ -0,0 +1,23 @@
+{
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
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+  "add_eos_token": false,
+  "added_tokens_decoder": {
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+      "single_word": false,
+      "special": false
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+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "split_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}