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README.md

@@ -1,30 +1,30 @@
 ---
 base_model:
-- TinyLlama/TinyLlama-1.1B-Chat-v1.0
-- cognitivecomputations/TinyDolphin-2.8-1.1b
+- mbahrsnc/tiny-frankenstein
+- HuggingFaceTB/cosmo-1b
 tags:
 - merge
 - mergekit
 - lazymergekit
-- TinyLlama/TinyLlama-1.1B-Chat-v1.0
-- cognitivecomputations/TinyDolphin-2.8-1.1b
+- mbahrsnc/tiny-frankenstein
+- HuggingFaceTB/cosmo-1b
 ---
 
 # tiny-frankenstein
 
 tiny-frankenstein is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-* [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)
-* [cognitivecomputations/TinyDolphin-2.8-1.1b](https://huggingface.co/cognitivecomputations/TinyDolphin-2.8-1.1b)
+* [mbahrsnc/tiny-frankenstein](https://huggingface.co/mbahrsnc/tiny-frankenstein)
+* [HuggingFaceTB/cosmo-1b](https://huggingface.co/HuggingFaceTB/cosmo-1b)
 
 ## 🧩 Configuration
 
 ```yaml
 slices:
   - sources:
-    - model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+    - model: mbahrsnc/tiny-frankenstein
       layer_range: [0, 14]
   - sources:
-    - model: cognitivecomputations/TinyDolphin-2.8-1.1b
+    - model: HuggingFaceTB/cosmo-1b
       layer_range: [14, 21]
 merge_method: passthrough
 dtype: bfloat16

config.json

@@ -1,22 +1,22 @@
 {
-  "_name_or_path": "cognitivecomputations/TinyDolphin-2.8-1.1b",
+  "_name_or_path": "HuggingFaceTB/cosmo-1b",
   "architectures": [
     "LlamaForCausalLM"
   ],
   "attention_bias": false,
   "attention_dropout": 0.0,
   "bos_token_id": 1,
-  "eos_token_id": 32000,
+  "eos_token_id": 2,
   "hidden_act": "silu",
   "hidden_size": 2048,
   "initializer_range": 0.02,
-  "intermediate_size": 5632,
-  "max_position_embeddings": 4096,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 2048,
   "mlp_bias": false,
   "model_type": "llama",
-  "num_attention_heads": 32,
+  "num_attention_heads": 16,
   "num_hidden_layers": 21,
-  "num_key_value_heads": 4,
+  "num_key_value_heads": 16,
   "pretraining_tp": 1,
   "rms_norm_eps": 1e-05,
   "rope_scaling": null,
@@ -25,5 +25,5 @@
   "torch_dtype": "bfloat16",
   "transformers_version": "4.42.4",
   "use_cache": true,
-  "vocab_size": 32002
+  "vocab_size": 32000
 }

mergekit_config.yml

@@ -1,10 +1,10 @@
 
 slices:
   - sources:
-    - model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+    - model: mbahrsnc/tiny-frankenstein
       layer_range: [0, 14]
   - sources:
-    - model: cognitivecomputations/TinyDolphin-2.8-1.1b
+    - model: HuggingFaceTB/cosmo-1b
       layer_range: [14, 21]
 merge_method: passthrough
 dtype: bfloat16

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special_tokens_map.json

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tokenizer.model

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tokenizer_config.json

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