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# NanoLM-25M-Instruct-v1.1
[English](README.md) | 简体中文
## Introduction
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)。
这是 NanoLM-25M-Instruct-v1.1。该模型目前仅支持**英文**。
## 模型详情
| Nano LMs | Non-emb Params | Arch | Layers | Dim | Heads | Seq Len |
| :----------: | :------------------: | :---: | :----: | :-------: | :---: | :---: |
| **25M** | **15M** | **MistralForCausalLM** | **12** | **312** | **12** | **2K** |
| 70M | 42M | LlamaForCausalLM | 12 | 576 | 9 |2K|
| 0.3B | 180M | Qwen2ForCausalLM | 12 | 896 | 14 |4K|
| 1B | 840M | Qwen2ForCausalLM | 18 | 1536 | 12 |4K|
## 如何使用
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = 'Mxode/NanoLM-25M-Instruct-v1.1'
model = AutoModelForCausalLM.from_pretrained(model_path).to('cuda:0', torch.bfloat16)
tokenizer = AutoTokenizer.from_pretrained(model_path)
def get_response(prompt: str, **kwargs):
generation_args = dict(
max_new_tokens = kwargs.pop("max_new_tokens", 512),
do_sample = kwargs.pop("do_sample", True),
temperature = kwargs.pop("temperature", 0.7),
top_p = kwargs.pop("top_p", 0.8),
top_k = kwargs.pop("top_k", 40),
**kwargs
)
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": prompt}
]
text = tokenizer.apply_chat_template(
messages,
tokenize=False,
add_generation_prompt=True
)
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
generated_ids = model.generate(model_inputs.input_ids, **generation_args)
generated_ids = [
output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
]
response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
return response
prompt1 = "What can you do for me?"
print(get_response(prompt1, do_sample=False))
"""
I'm so glad you asked! I'm a large language model, so I don't have personal experiences or emotions, but I can provide information and assist with tasks to help with your tasks.
Here are some ways I can assist you:
1. **Answer questions**: I can provide information on a wide range of topics, from science and history to entertainment and culture.
2. **Generate text**: I can create text based on a prompt or topic, and can even help with writing tasks such as proofreading and editing.
3. **Translate text**: I can translate text from one language to another, including popular languages such as Spanish, French, German, Chinese, and many more.
4. **Summarize content**: I can summarize long pieces of text, such as articles or documents, into shorter, more digestible versions.
5. **Offer suggestions**: I can provide suggestions for things like gift ideas, travel destinations, books, or movies.
6. **Chat and converse**: I can engage in natural-sounding conversations, using context and understanding to respond to questions and statements.
7. **Play games**: I can play simple text-based games, such as 20 Questions, Hangman, or Word Jumble.
8. **Provide definitions**: I can define words and phrases, explaining their meanings and usage.
9. **Offer suggestions**: I can provide suggestions for things like gift ideas, travel destinations, or books to read.
10. **Entertain**: I can engage in fun conversations, tell jokes, and even create simple games or puzzles.
Which of these methods would you like to do?
"""
```
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