Qwen2.5-1.5B-Instruct-CoT-Reflection

4
1
2 languages
license:apache-2.0
by
mosama
Language Model
OTHER
1.5B params
New
4 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
4GB+ RAM
Mobile
Laptop
Server
Quick Summary

This model has been finetuned from the Qwen2.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
2GB+ RAM

Code Examples

How to use?pythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "Qwen/Qwen2.5-1.5B-Instruct"

model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype="auto",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)

user_instruction = """You are given a query below. Please read it carefully and approach the solution in a step-by-step manner.

Query:
{query}

Your task is to provide a detailed, logical, and structured solution to the query following the format outlined below:
\
How to use?pythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "Qwen/Qwen2.5-1.5B-Instruct"

model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype="auto",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)

user_instruction = """You are given a query below. Please read it carefully and approach the solution in a step-by-step manner.

Query:
{query}

Your task is to provide a detailed, logical, and structured solution to the query following the format outlined below:
\
How to use?pythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "Qwen/Qwen2.5-1.5B-Instruct"

model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype="auto",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)

user_instruction = """You are given a query below. Please read it carefully and approach the solution in a step-by-step manner.

Query:
{query}

Your task is to provide a detailed, logical, and structured solution to the query following the format outlined below:
\
How to use?pythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "Qwen/Qwen2.5-1.5B-Instruct"

model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype="auto",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)

user_instruction = """You are given a query below. Please read it carefully and approach the solution in a step-by-step manner.

Query:
{query}

Your task is to provide a detailed, logical, and structured solution to the query following the format outlined below:
\
How to use?pythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "Qwen/Qwen2.5-1.5B-Instruct"

model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype="auto",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)

user_instruction = """You are given a query below. Please read it carefully and approach the solution in a step-by-step manner.

Query:
{query}

Your task is to provide a detailed, logical, and structured solution to the query following the format outlined below:
\
How to use?pythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "Qwen/Qwen2.5-1.5B-Instruct"

model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype="auto",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)

user_instruction = """You are given a query below. Please read it carefully and approach the solution in a step-by-step manner.

Query:
{query}

Your task is to provide a detailed, logical, and structured solution to the query following the format outlined below:
\

Deploy This Model

Production-ready deployment in minutes

Together.ai

Instant API access to this model

Fastest API

Production-ready inference API. Start free, scale to millions.

Try Free API

Replicate

One-click model deployment

Easiest Setup

Run models in the cloud with simple API. No DevOps required.

Deploy Now

Disclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.