brucoder/Winter-core-1.2-code

❄️ Winter Core 1.2 Code

The strongest model in the Winter LLM family

Built by INEZA AIME BRUNO

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What is Winter Core 1.2 Code?

Winter Core 1.2 Code is the flagship model of the Winter LLM project, created by INEZA AIME BRUNO. It is built for people who need a model that does not just answer — it thinks, it codes, and it solves.

It excels at:

• Code generation — writes clean, working code in Python, JavaScript, TypeScript, Rust, Go, C++, SQL, and more
• Debugging — finds bugs, explains why they happen, and fixes them
• Reasoning — breaks down complex problems step by step like a senior engineer
• Math — solves mathematical problems with clear working shown
• Agentic tasks — can plan and execute multi-step tasks autonomously
• General knowledge — broad world knowledge for everyday questions

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Model Details

Property	Value
Creator	INEZA AIME BRUNO
HF Profile	@brucoder
Model Family	Winter LLM
Version	1.2 Code
Language	English
License	MIT — free for everyone
Use	Public — anyone can download and use

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Quickstart

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

model_id = "brucoder/Winter-core-1.2-code"

tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.bfloat16,
    device_map="auto",
    trust_remote_code=True
)

messages = [
    {
        "role": "system",
        "content": "You are Winter Core, an elite coding and reasoning AI built by INEZA AIME BRUNO. You write clean, efficient code and explain your thinking clearly."
    },
    {
        "role": "user",
        "content": "Write a Python function that finds all prime numbers up to n using the Sieve of Eratosthenes."
    }
]

input_ids = tokenizer.apply_chat_template(
    messages,
    return_tensors="pt",
    add_generation_prompt=True
).to(model.device)

output = model.generate(
    input_ids,
    max_new_tokens=1024,
    temperature=0.7,
    do_sample=True,
)

response = tokenizer.decode(output[0][input_ids.shape[-1]:], skip_special_tokens=True)
print(response)

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Recommended System Prompt

For best results always use this system prompt:

You are Winter Core, an elite AI assistant created by INEZA AIME BRUNO.
You are an expert in coding, mathematics, and logical reasoning.
You think step by step, write clean and efficient code, and always explain your reasoning.
When solving problems, break them down into clear steps before writing any code.

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What Winter Core Does Better Than Most Models

🔧 Code it can write

Python · JavaScript · TypeScript · Rust · Go · C · C++ · Java
SQL · Bash · HTML · CSS · React · Vue · FastAPI · Django · and more

🧠 Problems it can solve

Algorithm design      · Data structures     · System design
Debugging             · Code review         · Refactoring
Math proofs           · Logic puzzles        · Competitive programming
API integration       · Database queries    · DevOps scripts

🤖 Agentic capabilities

Multi-step planning   · Tool use            · Self-correction
Long context tasks    · Code execution      · File operations

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Example Outputs

User: Fix this broken Python code:

def calculate_average(numbers)
    total = 0
    for num in numbers
        total += num
    return total / len(numbers

Winter Core:

def calculate_average(numbers):
    # Guard against empty list to avoid ZeroDivisionError
    if not numbers:
        return 0
    total = 0
    for num in numbers:
        total += num
    return total / len(numbers)

Fixed: missing colons after function and for definitions, missing closing parenthesis, added empty list guard.

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Run Locally Without a GPU

A GGUF version is available for running Winter Core on any laptop or PC with no GPU required.

Coming soon at: brucoder/Winter-core-1.2-code-GGUF

# Once available — run on CPU, no GPU needed
pip install llama-cpp-python
python3 -c "
from llama_cpp import Llama
llm = Llama(model_path='Winter-core-1.2-code-Q4_K_M.gguf', n_ctx=4096)
print(llm('Write a binary search in Python:', max_tokens=512)['choices'][0]['text'])
"

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License

Winter Core 1.2 Code is released under the MIT License.

You are free to:

• ✅ Use it personally and commercially
• ✅ Build products and apps on top of it
• ✅ Modify and redistribute it
• ✅ Download and run it locally

One condition:

• Keep the MIT license notice and credit INEZA AIME BRUNO as creator

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The Winter LLM Family

Model	Strength	Status
Winter Core 1.2 Code	Coding + Reasoning	✅ Available now
Winter PRO	General knowledge	✅ Available now
Winter LLM (merged)	All capabilities	🔄 Coming soon

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Citation

@misc{wintercore2025,
  title        = {Winter Core 1.2 Code: An Elite Coding and Reasoning Model},
  author       = {INEZA AIME BRUNO},
  year         = {2025},
  howpublished = {Hugging Face},
  url          = {https://huggingface.co/brucoder/Winter-core-1.2-code}
}

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❄️ Built with precision by INEZA AIME BRUNO

🤗 See all Winter LLM models