Upload folder using huggingface_hub
Browse files- README.md +63 -0
- config.json +27 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
README.md
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---
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library_name: transformers
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pipeline_tag: text-generation
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inference: true
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widget:
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- text: Hello!
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example_title: Hello world
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group: Python
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---
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This model is for debugging. It is randomly initialized using the config from [mistralai/mathstral-7B-v0.1](https://huggingface.co/mistralai/mathstral-7B-v0.1) but with smaller size.
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Codes:
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```python
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from huggingface_hub import create_repo, upload_folder
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from transformers import (
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pipeline,
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set_seed,
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AutoConfig,
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AutoModelForCausalLM,
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AutoTokenizer,
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GenerationConfig,
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)
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import torch
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import transformers
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import os
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model_id = "mistralai/mathstral-7B-v0.1"
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repo_id = "yujiepan/mathstral-v0.1-tiny-random"
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save_path = f"/tmp/{repo_id}"
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config = AutoConfig.from_pretrained(model_id)
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config.hidden_size = 8
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config.intermediate_size = 32
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config.num_attention_heads = 4
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config.num_hidden_layers = 2
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config.num_key_value_heads = 2
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config.head_dim = 2
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print(config)
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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tokenizer.save_pretrained(save_path)
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model = AutoModelForCausalLM.from_config(config, torch_dtype=torch.bfloat16)
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model.generation_config = GenerationConfig.from_pretrained(model_id)
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set_seed(42)
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with torch.no_grad():
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for _, p in sorted(model.named_parameters()):
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torch.nn.init.uniform_(p, -0.1, 0.1)
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model.save_pretrained(save_path)
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pipe = pipeline("text-generation", model=model, tokenizer=tokenizer, do_sample=False, device="cuda")
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print(pipe("Hello World!"))
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messages = [
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{"role": "system", "content": "You are a robot."},
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{"role": "user", "content": "Hi!"},
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]
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chatbot = pipeline("text-generation", model=save_path, max_length=1000, max_new_tokens=16)
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print(chatbot(messages))
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```
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config.json
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{
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"_name_or_path": "mistralai/mathstral-7B-v0.1",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 2,
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"hidden_act": "silu",
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"hidden_size": 8,
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"initializer_range": 0.02,
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"intermediate_size": 32,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 4,
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"num_hidden_layers": 2,
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"num_key_value_heads": 2,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.43.0.dev0",
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"use_cache": true,
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"vocab_size": 32768
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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": 1,
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"eos_token_id": 2,
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"transformers_version": "4.43.0.dev0"
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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 sha256:889ed1d5d4ad3c6a1a204b49dcf13c9980147a1c31fdff08ebd455171e4b41d1
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size 1054672
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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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": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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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.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:59f95e28944c062244741268596badc900df86c7f5ded05088d2da22a7379e06
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size 587583
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tokenizer_config.json
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