AWQ model commit
Browse files- TokenBender_gradio_evolvedSeeker_inference.ipynb +171 -0
- config.json +38 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- quant_config.json +6 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +191 -0
TokenBender_gradio_evolvedSeeker_inference.ipynb
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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": null,
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"id": "e0f555c6-4f5d-4f2d-93ab-8106d2c470dc",
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"metadata": {
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"jupyter": {
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"source_hidden": true
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},
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"id": "e0f555c6-4f5d-4f2d-93ab-8106d2c470dc"
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},
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"outputs": [],
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"source": [
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"!pip install -q accelerate sentencepiece torch transformers"
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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": "1mncI66sFR9a",
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"metadata": {
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"id": "1mncI66sFR9a",
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"jupyter": {
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"source_hidden": true
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}
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},
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"outputs": [],
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"source": [
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"!pip install -q --upgrade gradio"
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Inference with Gradio but no streaming"
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],
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"metadata": {
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"id": "0q800RsXd6Nj"
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},
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"id": "0q800RsXd6Nj"
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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": "26153855-215a-4289-b4ed-a1cb935ebe69",
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"metadata": {
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"jupyter": {
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"source_hidden": true
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},
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"scrolled": true,
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"id": "26153855-215a-4289-b4ed-a1cb935ebe69"
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},
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"outputs": [],
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"source": [
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"import gradio as gr\n",
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"import torch\n",
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"from transformers import AutoModelForCausalLM, AutoTokenizer\n",
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"\n",
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"base_model = \"TokenBender/evolvedSeeker_1_3\"\n",
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"tokenizer = AutoTokenizer.from_pretrained(base_model)\n",
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"model = AutoModelForCausalLM.from_pretrained(base_model, torch_dtype=torch.float16)\n",
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"model.config.use_cache = True\n",
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"model = model.to('cuda:0')\n",
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"\n",
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"def predict(message, history):\n",
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" history_transformed = [{'role': 'system', 'content': \"You are a helpful coding assistant, provide code based on the given query in context.\\n\"}]\n",
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" for msg in history:\n",
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" history_transformed.append({'role': 'user', 'content': msg[0]})\n",
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" history_transformed.append({'role': 'assistant', 'content': msg[1]})\n",
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"\n",
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" history_transformed.append({'role': 'user', 'content': message})\n",
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"\n",
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" inputs = tokenizer.apply_chat_template(history_transformed, return_tensors=\"pt\").to(model.device)\n",
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" outputs = model.generate(inputs, max_new_tokens=512, do_sample=False, top_k=10, top_p=0.95, num_return_sequences=1, eos_token_id=32021)\n",
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" response = tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True)\n",
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" yield response\n",
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"\n",
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"gr.ChatInterface(predict).queue().launch(share=True)\n"
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Inference without gradio"
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],
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"metadata": {
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"id": "0gpUWgWtdhOi"
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},
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"id": "0gpUWgWtdhOi"
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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": "7f5f98f1-430e-45a0-b4b3-6a3340b5efcf",
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"metadata": {
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"id": "7f5f98f1-430e-45a0-b4b3-6a3340b5efcf"
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},
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"outputs": [],
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"source": [
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"from transformers import AutoTokenizer, AutoModelForCausalLM\n",
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"tokenizer = AutoTokenizer.from_pretrained(\"TokenBender/evolvedSeeker_1_3\", trust_remote_code=True)\n",
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"model = AutoModelForCausalLM.from_pretrained(\"TokenBender/evolvedSeeker_1_3\", trust_remote_code=True).cuda()\n",
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"messages=[\n",
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" {'role': 'system', 'content': \"You are EvolvedSeeker, a model fine-tuned by TokenBender for coding assistant role. Help the user in a friendly, curious manner.\"},\n",
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" { 'role': 'user', 'content': \"Hi, who are you?.\"}\n",
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"]\n",
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"inputs = tokenizer.apply_chat_template(messages, return_tensors=\"pt\").to(model.device)\n",
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"# 32021 is the id of <|EOT|> token\n",
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"outputs = model.generate(inputs, max_new_tokens=512, do_sample=False, top_k=10, top_p=0.95, num_return_sequences=1, eos_token_id=32021)\n",
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"print(tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True))"
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Chat further"
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],
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"metadata": {
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"id": "TsFjwbtadqsJ"
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},
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"id": "TsFjwbtadqsJ"
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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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| 127 |
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"id": "a15a4f07-846f-4b89-bdcc-21b7c182e614",
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"metadata": {
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"id": "a15a4f07-846f-4b89-bdcc-21b7c182e614"
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},
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"outputs": [],
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"source": [
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"messages=[\n",
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" {'role': 'system', 'content': \"You are EvolvedSeeker, a model fine-tuned by TokenBender for coding assistant role. Help the user in a friendly, curious manner.\"},\n",
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" { 'role': 'user', 'content': \"Write a python program to create a snake game.\"}\n",
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"]\n",
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"inputs = tokenizer.apply_chat_template(messages, return_tensors=\"pt\").to(model.device)\n",
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| 138 |
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"# 32021 is the id of <|EOT|> token\n",
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"outputs = model.generate(inputs, max_new_tokens=2048, do_sample=False, top_k=10, top_p=0.95, num_return_sequences=1, eos_token_id=32021)\n",
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"print(tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True))"
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]
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}
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],
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"metadata": {
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"accelerator": "GPU",
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"colab": {
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"gpuType": "T4",
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"machine_shape": "hm",
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"provenance": []
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},
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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": "3.10.13"
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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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}
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config.json
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{
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"_name_or_path": "/workspace/process/tokenbender_evolvedseeker_1_3/source",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"bos_token_id": 32013,
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"eos_token_id": 32021,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5504,
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"max_position_embeddings": 16384,
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"model_type": "llama",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"num_key_value_heads": 16,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"quantization_config": {
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"bits": 4,
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"group_size": 128,
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"quant_method": "awq",
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"version": "gemm",
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"zero_point": true
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},
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"rms_norm_eps": 1e-06,
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"rope_scaling": {
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"factor": 4.0,
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"type": "linear"
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},
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"rope_theta": 100000,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.35.2",
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"use_cache": true,
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"vocab_size": 32256
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 32013,
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"eos_token_id": 32021,
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"transformers_version": "4.35.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8a2384c7140ab57c6377bef00562199100f825b0b3fe71f16d1d9f3325f8e9f5
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size 895344952
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quant_config.json
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{
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"zero_point": true,
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"q_group_size": 128,
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"w_bit": 4,
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"version": "GEMM"
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<｜begin▁of▁sentence｜>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|EOT|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<｜end▁of▁sentence｜>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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| 1 |
+
{
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| 2 |
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"added_tokens_decoder": {
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| 3 |
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"32000": {
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| 4 |
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"content": "õ",
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| 5 |
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"lstrip": false,
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| 6 |
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"normalized": true,
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| 7 |
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"rstrip": false,
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| 8 |
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"single_word": false,
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| 9 |
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"special": false
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| 10 |
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},
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| 11 |
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"32001": {
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| 12 |
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"content": "÷",
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| 13 |
+
"lstrip": false,
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| 14 |
+
"normalized": true,
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| 15 |
+
"rstrip": false,
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| 16 |
+
"single_word": false,
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| 17 |
+
"special": false
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| 18 |
+
},
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| 19 |
+
"32002": {
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| 20 |
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"content": "Á",
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| 21 |
+
"lstrip": false,
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| 22 |
+
"normalized": true,
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| 23 |
+
"rstrip": false,
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| 24 |
+
"single_word": false,
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| 25 |
+
"special": false
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| 26 |
+
},
|
| 27 |
+
"32003": {
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| 28 |
+
"content": "ý",
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| 29 |
+
"lstrip": false,
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| 30 |
+
"normalized": true,
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| 31 |
+
"rstrip": false,
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| 32 |
+
"single_word": false,
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| 33 |
+
"special": false
|
| 34 |
+
},
|
| 35 |
+
"32004": {
|
| 36 |
+
"content": "À",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": true,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": false
|
| 42 |
+
},
|
| 43 |
+
"32005": {
|
| 44 |
+
"content": "ÿ",
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| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": true,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": false
|
| 50 |
+
},
|
| 51 |
+
"32006": {
|
| 52 |
+
"content": "ø",
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| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": true,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
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| 57 |
+
"special": false
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| 58 |
+
},
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| 59 |
+
"32007": {
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| 60 |
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"content": "ú",
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| 61 |
+
"lstrip": false,
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| 62 |
+
"normalized": true,
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| 63 |
+
"rstrip": false,
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| 64 |
+
"single_word": false,
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| 65 |
+
"special": false
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| 66 |
+
},
|
| 67 |
+
"32008": {
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| 68 |
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"content": "þ",
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| 69 |
+
"lstrip": false,
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| 70 |
+
"normalized": true,
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| 71 |
+
"rstrip": false,
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| 72 |
+
"single_word": false,
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| 73 |
+
"special": false
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| 74 |
+
},
|
| 75 |
+
"32009": {
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| 76 |
+
"content": "ü",
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| 77 |
+
"lstrip": false,
|
| 78 |
+
"normalized": true,
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| 79 |
+
"rstrip": false,
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| 80 |
+
"single_word": false,
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| 81 |
+
"special": false
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| 82 |
+
},
|
| 83 |
+
"32010": {
|
| 84 |
+
"content": "ù",
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| 85 |
+
"lstrip": false,
|
| 86 |
+
"normalized": true,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": false
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| 90 |
+
},
|
| 91 |
+
"32011": {
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| 92 |
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"content": "ö",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": true,
|
| 95 |
+
"rstrip": false,
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| 96 |
+
"single_word": false,
|
| 97 |
+
"special": false
|
| 98 |
+
},
|
| 99 |
+
"32012": {
|
| 100 |
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"content": "û",
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| 101 |
+
"lstrip": false,
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| 102 |
+
"normalized": true,
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| 103 |
+
"rstrip": false,
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| 104 |
+
"single_word": false,
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| 105 |
+
"special": false
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| 106 |
+
},
|
| 107 |
+
"32013": {
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| 108 |
+
"content": "<｜begin▁of▁sentence｜>",
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| 109 |
+
"lstrip": false,
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| 110 |
+
"normalized": true,
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| 111 |
+
"rstrip": false,
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| 112 |
+
"single_word": false,
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| 113 |
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"special": true
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| 114 |
+
},
|
| 115 |
+
"32014": {
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| 116 |
+
"content": "<｜end▁of▁sentence｜>",
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| 117 |
+
"lstrip": false,
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| 118 |
+
"normalized": true,
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| 119 |
+
"rstrip": false,
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| 120 |
+
"single_word": false,
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| 121 |
+
"special": true
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| 122 |
+
},
|
| 123 |
+
"32015": {
|
| 124 |
+
"content": "<｜fim▁hole｜>",
|
| 125 |
+
"lstrip": false,
|
| 126 |
+
"normalized": true,
|
| 127 |
+
"rstrip": false,
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| 128 |
+
"single_word": false,
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| 129 |
+
"special": false
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| 130 |
+
},
|
| 131 |
+
"32016": {
|
| 132 |
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"content": "<｜fim▁begin｜>",
|
| 133 |
+
"lstrip": false,
|
| 134 |
+
"normalized": true,
|
| 135 |
+
"rstrip": false,
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"special": false
|
| 138 |
+
},
|
| 139 |
+
"32017": {
|
| 140 |
+
"content": "<｜fim▁end｜>",
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"normalized": true,
|
| 143 |
+
"rstrip": false,
|
| 144 |
+
"single_word": false,
|
| 145 |
+
"special": false
|
| 146 |
+
},
|
| 147 |
+
"32018": {
|
| 148 |
+
"content": "<pad>",
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"normalized": true,
|
| 151 |
+
"rstrip": false,
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"special": false
|
| 154 |
+
},
|
| 155 |
+
"32019": {
|
| 156 |
+
"content": "<|User|>",
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"normalized": true,
|
| 159 |
+
"rstrip": false,
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| 160 |
+
"single_word": false,
|
| 161 |
+
"special": false
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| 162 |
+
},
|
| 163 |
+
"32020": {
|
| 164 |
+
"content": "<|Assistant|>",
|
| 165 |
+
"lstrip": false,
|
| 166 |
+
"normalized": true,
|
| 167 |
+
"rstrip": false,
|
| 168 |
+
"single_word": false,
|
| 169 |
+
"special": false
|
| 170 |
+
},
|
| 171 |
+
"32021": {
|
| 172 |
+
"content": "<|EOT|>",
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"normalized": true,
|
| 175 |
+
"rstrip": false,
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| 176 |
+
"single_word": false,
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| 177 |
+
"special": true
|
| 178 |
+
}
|
| 179 |
+
},
|
| 180 |
+
"bos_token": "<｜begin▁of▁sentence｜>",
|
| 181 |
+
"chat_template": "{%- set found_item = false -%}\n{%- for message in messages -%}\n {%- if message['role'] == 'system' -%}\n {%- set found_item = true -%}\n {%- endif -%}\n{%- endfor -%}\n{%- if not found_item -%}\n{{'You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer.\\n'}}\n{%- endif %}\n{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n{{ message['content'] }}\n {%- else %}\n {%- if message['role'] == 'user' %}\n{{'### Instruction:\\n' + message['content'] + '\\n'}}\n {%- else %}\n{{'### Response:\\n' + message['content'] + '\\n<|EOT|>\\n'}}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{{'### Response:\\n'}}\n",
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| 182 |
+
"clean_up_tokenization_spaces": false,
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| 183 |
+
"eos_token": "<|EOT|>",
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| 184 |
+
"legacy": true,
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| 185 |
+
"model_max_length": 16384,
|
| 186 |
+
"pad_token": "<｜end▁of▁sentence｜>",
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| 187 |
+
"sp_model_kwargs": {},
|
| 188 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 189 |
+
"unk_token": null,
|
| 190 |
+
"use_default_system_prompt": false
|
| 191 |
+
}
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