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Sao10K
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Zephyrus-L1-33B

Text Generation
Transformers
Safetensors
English
llama
Inference Endpoints
text-generation-inference
Model card Files Community
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Sao10K commited on
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Upload folder using huggingface_hub

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  1. .ipynb_checkpoints/Untitled-checkpoint.ipynb +6 -0
  2. Untitled.ipynb +162 -0
  3. config.json +28 -0
  4. model-00001-of-00061.safetensors +3 -0
  5. model-00002-of-00061.safetensors +3 -0
  6. model-00003-of-00061.safetensors +3 -0
  7. model-00004-of-00061.safetensors +3 -0
  8. model-00005-of-00061.safetensors +3 -0
  9. model-00006-of-00061.safetensors +3 -0
  10. model-00007-of-00061.safetensors +3 -0
  11. model-00008-of-00061.safetensors +3 -0
  12. model-00009-of-00061.safetensors +3 -0
  13. model-00010-of-00061.safetensors +3 -0
  14. model-00011-of-00061.safetensors +3 -0
  15. model-00012-of-00061.safetensors +3 -0
  16. model-00013-of-00061.safetensors +3 -0
  17. model-00014-of-00061.safetensors +3 -0
  18. model-00015-of-00061.safetensors +3 -0
  19. model-00016-of-00061.safetensors +3 -0
  20. model-00017-of-00061.safetensors +3 -0
  21. model-00018-of-00061.safetensors +3 -0
  22. model-00019-of-00061.safetensors +3 -0
  23. model-00020-of-00061.safetensors +3 -0
  24. model-00021-of-00061.safetensors +3 -0
  25. model-00022-of-00061.safetensors +3 -0
  26. model-00023-of-00061.safetensors +3 -0
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  29. model-00026-of-00061.safetensors +3 -0
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  31. model-00028-of-00061.safetensors +3 -0
  32. model-00029-of-00061.safetensors +3 -0
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  37. model-00034-of-00061.safetensors +3 -0
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  43. model-00040-of-00061.safetensors +3 -0
  44. model-00041-of-00061.safetensors +3 -0
  45. model-00042-of-00061.safetensors +3 -0
  46. model-00043-of-00061.safetensors +3 -0
  47. model-00044-of-00061.safetensors +3 -0
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  49. model-00046-of-00061.safetensors +3 -0
  50. model-00047-of-00061.safetensors +3 -0
.ipynb_checkpoints/Untitled-checkpoint.ipynb ADDED
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+ {
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+ "cells": [],
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+ "metadata": {},
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+ "nbformat": 4,
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+ "nbformat_minor": 5
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+ }
Untitled.ipynb ADDED
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+ {
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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 1,
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+ "id": "03dba80d-dcd0-47db-bbd1-37383bbea321",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "data": {
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+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "06d1913d2ba84773a81275106112952e",
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+ "version_major": 2,
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+ "version_minor": 0
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+ },
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+ "text/plain": [
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+ "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ }
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+ ],
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+ "source": [
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+ "\n",
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+ "# Login to hub (optionnal)\n",
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+ "from huggingface_hub import notebook_login\n",
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+ "notebook_login()"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": null,
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+ "id": "7c3ebf3d-79b4-4d01-8a74-7e6214b000b3",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "data": {
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+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "c48180a658824b5e9be50056f0df633b",
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+ "version_major": 2,
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+ "version_minor": 0
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+ },
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+ "text/plain": [
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+ "model-00023-of-00061.safetensors: 0%| | 0.00/1.07G [00:00<?, ?B/s]"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ },
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+ {
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+ "data": {
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+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "77b1bab4e414419d884c04ebaf381d6e",
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+ "version_major": 2,
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+ "version_minor": 0
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+ },
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+ "text/plain": [
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+ "model-00044-of-00061.safetensors: 0%| | 0.00/1.07G [00:00<?, ?B/s]"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ },
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+ {
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+ "data": {
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+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "f2d92512ffad4002aa8621515c0a102f",
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+ "version_major": 2,
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+ "version_minor": 0
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+ },
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+ "text/plain": [
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+ "model-00057-of-00061.safetensors: 0%| | 0.00/1.07G [00:00<?, ?B/s]"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ },
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+ {
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+ "data": {
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+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "843450c5efa84386a6e92c39b469329d",
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+ "version_major": 2,
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+ "version_minor": 0
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+ },
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+ "text/plain": [
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+ "model-00043-of-00061.safetensors: 0%| | 0.00/1.07G [00:00<?, ?B/s]"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ },
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+ {
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+ "data": {
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+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "af3fab52a52847448e0df730d1069c87",
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+ "version_major": 2,
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+ "version_minor": 0
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+ },
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+ "text/plain": [
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+ "Upload 4 LFS files: 0%| | 0/4 [00:00<?, ?it/s]"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ }
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+ ],
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+ "source": [
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+ "# Set variables\n",
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+ "username = \"Sao10K\"\n",
111
+ "base_model_name = \"Crataeis-L1-33B\"\n",
112
+ "\n",
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+ "# Push to hub\n",
114
+ "from huggingface_hub import create_repo, HfApi\n",
115
+ "api = HfApi()\n",
116
+ "\n",
117
+ "create_repo(repo_id = f\"{username}/{base_model_name}\", private = True, repo_type = \"model\", exist_ok = True)\n",
118
+ "api.upload_folder(\n",
119
+ " folder_path=\"/workspace/text-generation-webui/models/Zephyrus\",\n",
120
+ " repo_id=f\"{username}/{base_model_name}\"\n",
121
+ ")"
122
+ ]
123
+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": null,
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+ "id": "cbf80987-3ab1-4ada-b197-4d2a7ec7f8a3",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": []
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": null,
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+ "id": "03788aee-ed15-4c8d-af25-d70acc4f5002",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": []
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+ }
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+ ],
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+ "metadata": {
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+ "kernelspec": {
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+ "display_name": "Python 3 (ipykernel)",
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+ "language": "python",
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+ "name": "python3"
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+ },
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+ "language_info": {
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+ "codemirror_mode": {
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+ "name": "ipython",
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+ "version": 3
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+ },
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+ "file_extension": ".py",
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+ "mimetype": "text/x-python",
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+ "name": "python",
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+ "nbconvert_exporter": "python",
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+ "pygments_lexer": "ipython3",
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+ "version": "3.10.6"
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+ }
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+ },
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+ "nbformat": 4,
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+ "nbformat_minor": 5
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "/workspace/llama-30b-hf",
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+ "architectures": [
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+ "LLaMAForCausalLM"
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+ ],
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+ "bos_token_id": 0,
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+ "eos_token_id": 1,
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+ "hidden_act": "silu",
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+ "hidden_size": 6656,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 17920,
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+ "max_position_embeddings": 2048,
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+ "max_sequence_length": 2048,
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+ "model_type": "llama",
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+ "num_attention_heads": 52,
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+ "num_hidden_layers": 60,
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+ "num_key_value_heads": 52,
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+ "pad_token_id": -1,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.33.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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