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README.md

@@ -12,7 +12,7 @@ tags:
 
 # xllama-2b
 
-xllama-1b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+xllama-2b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
 * [Salesforce/xLAM-1b-fc-r](https://huggingface.co/Salesforce/xLAM-1b-fc-r)
 * [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)
 
@@ -22,7 +22,7 @@ xllama-1b is a merge of the following models using [LazyMergekit](https://colab.
 slices:
   - sources:
       - model: Salesforce/xLAM-1b-fc-r
-        layer_range: [0, 21]
+        layer_range: [0, 23]
   - sources:
       - model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
         layer_range: [0, 21]
@@ -39,7 +39,7 @@ from transformers import AutoTokenizer
 import transformers
 import torch
 
-model = "mbahrsnc/xllama-1b"
+model = "mbahrsnc/xllama-2b"
 messages = [{"role": "user", "content": "What is a large language model?"}]
 
 tokenizer = AutoTokenizer.from_pretrained(model)

config.json

@@ -15,7 +15,7 @@
   "mlp_bias": false,
   "model_type": "llama",
   "num_attention_heads": 16,
-  "num_hidden_layers": 42,
+  "num_hidden_layers": 44,
   "num_key_value_heads": 16,
   "pretraining_tp": 1,
   "rms_norm_eps": 1e-06,

mergekit_config.yml

@@ -2,7 +2,7 @@
 slices:
   - sources:
       - model: Salesforce/xLAM-1b-fc-r
-        layer_range: [0, 21]
+        layer_range: [0, 23]
   - sources:
       - model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
         layer_range: [0, 21]

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