77 lines
2.4 KiB
Markdown
77 lines
2.4 KiB
Markdown
# NanoLM-0.3B-Instruct-v2
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[English](README.md) | 简体中文
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## Introduction
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为了探究小模型的潜能，我尝试构建一系列小模型，并存放于 [NanoLM Collections](https://huggingface.co/collections/Mxode/nanolm-66d6d75b4a69536bca2705b2)。
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这是 NanoLM-0.3B-Instruct-v2。该模型目前仅支持**英文**。
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## 模型详情
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| Nano LMs | Non-emb Params | Arch | Layers | Dim | Heads | Seq Len |
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| :----------: | :------------------: | :---: | :----: | :-------: | :---: | :---: |
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| 25M | 15M | MistralForCausalLM | 12 | 312 | 12 |2K|
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| 70M | 42M | LlamaForCausalLM | 12 | 576 | 9 |2K|
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| **0.3B** | **180M** | **Qwen2ForCausalLM** | **12** | **896** | **14** | **4K** |
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| 1B | 840M | Qwen2ForCausalLM | 18 | 1536 | 12 |4K|
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## 如何使用
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_path = 'Mxode/NanoLM-0.3B-Instruct-v2'
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model = AutoModelForCausalLM.from_pretrained(model_path).to('cuda:0', torch.bfloat16)
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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def get_response(prompt: str, **kwargs):
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generation_args = dict(
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max_new_tokens = kwargs.pop("max_new_tokens", 512),
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do_sample = kwargs.pop("do_sample", True),
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temperature = kwargs.pop("temperature", 0.7),
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top_p = kwargs.pop("top_p", 0.8),
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top_k = kwargs.pop("top_k", 40),
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**kwargs
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)
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messages = [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": prompt}
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]
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text = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True
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)
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model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
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generated_ids = model.generate(model_inputs.input_ids, **generation_args)
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generated_ids = [
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output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
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]
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response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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return response
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prompt1 = "Calculate (4 - 1) * 7"
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print(get_response(prompt1, do_sample=False))
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"""
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To calculate the expression (4 - 1) * 7, we need to follow the order of operations (PEMDAS):
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1. Evaluate the expression inside the parentheses: 4 - 1 = 3
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2. Multiply 3 by 7: 3 * 7 = 21
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So, (4 - 1) * 7 = 21.
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"""
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```
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