diff --git a/.gitattributes b/.gitattributes
index 86840f6..ed15769 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
*.zst filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text
nemo/*.nemo filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
diff --git a/README.md b/README.md
index 4f30bba..70ed070 100644
--- a/README.md
+++ b/README.md
@@ -5,7 +5,7 @@ license_link: >-
https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf
---
-# Minitron 8B Base
+# Nemotron-4 Minitron 8B Base
Minitron is a family of small language models (SLMs) obtained by pruning NVIDIA's [Nemotron-4 15B](https://arxiv.org/abs/2402.16819) model. We prune model embedding size, attention heads, and MLP intermediate dimension, following which, we perform continued training with distillation to arrive at the final models.
@@ -15,22 +15,20 @@ Minitron models are for research and development only.
## HuggingFace Quickstart
-The [PR](https://github.com/huggingface/transformers/pull/31699) to support our models in Hugging Face in under review and expected to be merged soon. In the meantime, this [branch](https://github.com/suiyoubi/transformers/tree/aot/nemotron-support) at [commit ID 63d9cb0](https://github.com/suiyoubi/transformers/commit/63d9cb0afd2bf5d4cb5431ba1b2c4e353752a937) can be used for Minitron models:
+The [pull request](https://github.com/huggingface/transformers/pull/32495) to support this model in Hugging Face Transformers is under review and expected to be merged soon. In the meantime, please follow the installation instructions below:
```
-git clone git@github.com:suiyoubi/transformers.git
-cd transformers
-git checkout 63d9cb0
-pip install .
+$ git clone -b aot/head_dim_rope --single-branch https://github.com/suiyoubi/transformers.git && cd transformers
+$ pip install -e .
```
-The following code provides an example of how to load the Minitron-8B model and use it to perform text generation.
+The following code provides an example of how to load the Nemotron-4-Minitron-8B model and use it to perform text generation.
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
# Load the tokenizer and model
-model_path = "nvidia/Minitron-8B-Base"
+model_path = "nvidia/Nemotron-4-Minitron-8B-Base"
tokenizer = AutoTokenizer.from_pretrained(model_path)
device='cuda'
@@ -59,13 +57,13 @@ Minitron is released under the [NVIDIA Open Model License Agreement](https://dev
| Average |
| :---- |
-| 63.8 |
+| 64.5 |
*Zero-shot performance.* Evaluated using select datasets from the [LM Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) with additions:
HellaSwag | Winogrande | GSM8K| ARC-C | XLSum |
| :------------- | :------------- | :------------- | :------------- | :------------- |
-| 80.7 | 79.0 | 51.3 | 52.6 | 31.2
+| 81.6 | 80.3 | 54.2 | 49.2 | 31.1
*Code generation performance*. Evaluated using [HumanEval](https://github.com/openai/human-eval):
diff --git a/config.json b/config.json
index ed8bbea..d99b7af 100644
--- a/config.json
+++ b/config.json
@@ -13,15 +13,14 @@
"model_type": "nemotron",
"num_attention_heads": 48,
"num_hidden_layers": 32,
- "kv_channels": 128,
"num_key_value_heads": 8,
"norm_eps": 1e-05,
"rope_theta": 10000,
- "rope_percent": 0.5,
- "rope_scaling": null,
+ "partial_rotary_factor": 0.5,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
- "transformers_version": "4.32.0.dev0",
+ "transformers_version": "4.44.0",
"use_cache": true,
- "vocab_size": 256000
-}
+ "vocab_size": 256000,
+ "head_dim": 128
+}
\ No newline at end of file
diff --git a/pytorch_model.bin b/pytorch_model.bin
index cb36957..f18757d 100644
--- a/pytorch_model.bin
+++ b/pytorch_model.bin
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+oid sha256:debb954a1720801fa4c054f0c761fe344758ef659419d45e5b9a5e7b10722a11
size 16543512498
diff --git a/special_tokens_map.json b/special_tokens_map.json
index 451134b..0d197aa 100644
--- a/special_tokens_map.json
+++ b/special_tokens_map.json
@@ -1,23 +1,4 @@
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+ "bos_token": "",
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diff --git a/tokenizer.json b/tokenizer.json
new file mode 100644
index 0000000..4278610
--- /dev/null
+++ b/tokenizer.json
@@ -0,0 +1,3 @@
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+oid sha256:83d0648daa0467fb02ddef7ff25460321dab2fbb20c280ae0bc1ea8052f7df90
+size 18143149
diff --git a/tokenizer.model b/tokenizer.model
deleted file mode 100644
index b399c69..0000000
--- a/tokenizer.model
+++ /dev/null
@@ -1,3 +0,0 @@
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-oid sha256:6dfd8b970f437002fc445214304969fe59e64d4f48500bd0b77ba55340f2d811
-size 4545602
diff --git a/tokenizer_config.json b/tokenizer_config.json
index 0ed23b1..4f67bbd 100644
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -1,10 +1,7 @@
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- "add_prefix_space": true,
"added_tokens_decoder": {
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+ "0": {
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