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new_extended_tokenizer/special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<PAD>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

new_extended_tokenizer/tokenizer.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

readme.md

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+# Steps to run continued pretraining 
+
+1. Install the environment from as given in `multilinguality_megatron/Readme.md`
+
+2. Run the following commands
+
+```bash
+conda activate towerllm-env
+bash multilinguality_megatron/convert2megatron.sh
+bash multilinguality_megatron/model_sharding.sh
+bash multilinguality_megatron/continue_pretraining.sh
+```
+
+Arguments to take care of:
+```bash
+convert2megatron.sh 
+        --megatron_model: Path where the megatron weights are to be saved
+        --model: Path of huggingface model (KshitijAmbilduke/extended_non_uniform_model_tinyllama)
+        --size: 1 (for TinyLlama)
+        --repo: Location of the multilingual megatron repository
+
+
+model_sharding.sh
+        --megatron_model: Path where the megatron weights are saved
+        --sharded_model: Path of folder to save shards of the model 
+        --tp: Number of shards to create. (Number of shards == Number of GPUs used)
+        --vocab_size: 37005 (32000+5005)
+
+
+continue_pretraining.sh
+        --data_path="1 data/data_text_document"
+        megatron_model: Path of folder containing sharded model
+        model_dir: Path for folding storing checkpoints
+        tokenizer_path: Path of extended tokenizer
+        tp: number of shards
+```