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InteractiveManual.ipynb

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+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "B3S1AZp6Kc0R"
+      },
+      "source": [
+        "# Installing\n",
+        "\n",
+        "If running on Google Colab you will need a Colab Pro+ subscription.\n",
+        "\n",
+        "Change the runtime type to a high memory or connect your local machine to colab, launch a vm perhaps.\n",
+        "\n",
+        "First, you will need to obtain the LLaMA weights. \n",
+        "\n",
+        "You can sign up for the official weights here: https://huggingface.co/docs/transformers/main/model_doc/llama\n",
+        "\n",
+        "There are alternative models available on huggingface however. This guide will assume you do not have access to the official weights.\n",
+        "\n",
+        "If you do have access to the official weights skip to: Clone the delta weights"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "8_MM5GNkKc0T"
+      },
+      "source": [
+        "## Clone the LLaMA weights"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "5TioBc7WKc0U"
+      },
+      "outputs": [],
+      "source": [
+        "# Setup git lfs\n",
+        "!git lfs install --skip-smudge --force\n",
+        "!git lfs env\n",
+        "!git config filter.lfs.process \"git-lfs filter-process --skip\"\n",
+        "!git config filter.lfs.smudge \"git-lfs smudge --skip -- %f\""
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "B5Q-x5yBKc0V"
+      },
+      "outputs": [],
+      "source": [
+        "# Cloning the 7b parameter model repo\n",
+        "!git lfs clone https://huggingface.co/decapoda-research/llama-7b-hf"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "d0r8HBUyKc0V"
+      },
+      "outputs": [],
+      "source": [
+        "# Cloning the 13b parameter model repo\n",
+        "!git lfs clone https://huggingface.co/decapoda-research/llama-13b-hf"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "QeDIT-a4Kc0V"
+      },
+      "source": [
+        "## Applying the Vicuna delta weights"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "p7BGGUICKc0W"
+      },
+      "source": [
+        "### Install PyTorch with CUDA support\n",
+        "\n",
+        "If you already have this installed in your environment, you can skip this step."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "IfGE0ALrKc0W"
+      },
+      "outputs": [],
+      "source": [
+        "# First we need to upgrade setuptools, pip and wheel\n",
+        "!pip install --upgrade setuptools pip wheel"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "RpvAYAD8Kc0W"
+      },
+      "outputs": [],
+      "source": [
+        "# For CUDA 11.X:\n",
+        "!pip install nvidia-cuda-runtime-cu11 --index-url https://pypi.ngc.nvidia.com"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "1oEi1ggaKc0X"
+      },
+      "outputs": [],
+      "source": [
+        "# For CUDA 12.x\n",
+        "!pip install nvidia-cuda-runtime-cu12 --index-url https://pypi.ngc.nvidia.com"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "fQYYrn4tKc0X"
+      },
+      "outputs": [],
+      "source": [
+        "# For PyTorch cu117\n",
+        "!pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "G7lnb0sYKc0X"
+      },
+      "outputs": [],
+      "source": [
+        "# For PyTorch cu118\n",
+        "!pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "oBVyjHuWKc0Y"
+      },
+      "source": [
+        "### Running the Fast-Chat apply delta script"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "a4b11Z8lKc0Y"
+      },
+      "outputs": [],
+      "source": [
+        "# Install FastChat\n",
+        "!pip install fschat\n",
+        "\n",
+        "# Install the latest main branch of huggingface/transformers\n",
+        "!pip install git+https://github.com/huggingface/transformers"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "3vJTP1m0Kc0Y"
+      },
+      "outputs": [],
+      "source": [
+        "import json\n",
+        "\n",
+        "def convert_llama_names(model_name: str) -> None:\n",
+        "    \"\"\"Convert LlamaForCausalLM to LlamaForCausalLM and LLaMATokenizer to LlamaTokenizer\"\"\"\n",
+        "    with open(f\"{model_name}/config.json\", \"r\", encoding='utf-8') as f:\n",
+        "        data = f.read()\n",
+        "\n",
+        "    config = json.loads(data)\n",
+        "    config[\"architectures\"] = [\"LlamaForCausalLM\"]\n",
+        "    with open(f\"{model_name}/config.json\", \"w\", encoding='utf-8') as f:\n",
+        "        json.dump(config, f)\n",
+        "\n",
+        "\n",
+        "    with open(f\"{model_name}/tokenizer_config.json\", \"r\", encoding='utf-8') as f:\n",
+        "        data = f.read()\n",
+        "\n",
+        "    config = json.loads(data)\n",
+        "    config[\"tokenizer_class\"] = \"LlamaTokenizer\"\n",
+        "\n",
+        "    with open(f\"{model_name}/tokenizer_config.json\", \"w\", encoding='utf-8') as f:\n",
+        "        json.dump(config, f)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "qyboxxkXKc0Y"
+      },
+      "outputs": [],
+      "source": [
+        "!git lfs clone https://huggingface.co/lmsys/vicuna-7b-delta-v1.1"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "9tlvfvapKc0Z"
+      },
+      "outputs": [],
+      "source": [
+        "# 7b Model\n",
+        "convert_llama_names(\"llama-7b-hf\")\n",
+        "!python -m fastchat.model.apply_delta --base llama-7b-hf --target vicuna-7b --delta ./vicuna-7b-delta-v1.1"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "5VzAdoySKc0Z"
+      },
+      "outputs": [],
+      "source": [
+        "!git lfs clone https://huggingface.co/lmsys/vicuna-13b-delta-v1.1"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "jRBc7q5RKc0Z"
+      },
+      "outputs": [],
+      "source": [
+        "# 13b\n",
+        "convert_llama_names(\"llama-13b-hf\")\n",
+        "!python -m fastchat.model.apply_delta --base llama-13b-hf --target vicuna-13b --delta ./vicuna-13b-delta-v1.1"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "7n8Ug87RKc0Z"
+      },
+      "source": [
+        "# Installing Auto-Vicuna\n",
+        "\n",
+        "Note that running this does not work in colab or the notebook, it is for demonstration purposes only."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "gIlfwNlEKc0Z"
+      },
+      "outputs": [],
+      "source": [
+        "!pip install auto-vicuna"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "0Z5NlQOXKc0Z"
+      },
+      "source": [
+        "# Running Auto-Vicuna"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "sBJiQP7MKc0a"
+      },
+      "outputs": [],
+      "source": [
+        "!auto_vicuna --vicuna_weights vicuna-7b"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "oqqFeF4zKc0a"
+      },
+      "source": [
+        "You can also create a .env file with \n",
+        "\n",
+        "```\n",
+        "VICUNA_WEIGHTS=vicuna-7b\n",
+        "```\n",
+        "\n",
+        "To avoid passing the weights as an arugment."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "jiW98C1KKc0a"
+      },
+      "source": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "VE8DhmUrKc0a"
+      },
+      "source": [
+        "## Known Issues\n",
+        "\n",
+        "If your model keeps talking about random news articles and suchs the `special_tokens_map.json` and `tokenizer_config.json` need to have to stop tokens populated most likely, you can find them in the repo's root dir."
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": ".venv",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.9.13"
+    },
+    "orig_nbformat": 4,
+    "colab": {
+      "provenance": []
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}

added_tokens.json

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+{
+  "[PAD]": 32000
+}

config.json

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+{
+  "_name_or_path": "/workspace/huggyllama_llama-13b",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 2048,
+  "max_sequence_length": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.28.1",
+  "use_cache": true,
+  "vocab_size": 32001
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.29.0.dev0"
+}

pytorch_model.bin.index.json

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