| --- |
| license: apache-2.0 |
| language: |
| - en |
| base_model: |
| - mistralai/Devstral-Small-2-24B-Instruct-2512 |
| pipeline_tag: text-generation |
| library_name: transformers |
| tags: |
| - reasoning |
| - coding |
| - math |
| - science |
| - instruction-tuned |
| - mistral |
| - pytorch |
| --- |
| |
| # **Supertron2-24B: A Capable Instruction-Tuned Coding and Reasoning Model** |
|
|
| ## **Model Description** |
|
|
| **Supertron2-24B** is an instruction-tuned language model built on top of [mistralai/Devstral-Small-2-24B-Instruct-2512](https://huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512). It is designed for practical coding assistance, structured reasoning, math, science, general chat, and everyday instruction following. |
|
|
| * **Developed by:** Surpem |
| * **Model type:** Causal Language Model |
| * **Architecture:** Dense Transformer, 24B parameters |
| * **License:** Apache 2.0 |
|
|
| --- |
|
|
| ## **Capabilities** |
|
|
| ### **Coding** |
|
|
| Supertron2-24B is designed to help write, explain, and debug code. It can assist with practical programming tasks, implementation planning, error analysis, and code review style explanations. |
|
|
| ### **Reasoning** |
|
|
| The model can work through multi-step questions, compare options, follow structured instructions, and produce concise answers when requested. |
|
|
| ### **Math** |
|
|
| Supertron2-24B can handle arithmetic, algebra-style problems, word problems, and step-by-step mathematical explanations. |
|
|
| ### **Science** |
|
|
| The model can explain scientific concepts clearly, answer STEM questions, and help with educational or technical writing. |
|
|
| ### **General Chat** |
|
|
| Supertron2-24B can assist with writing, brainstorming, explanations, planning, summarization, and general everyday questions. |
|
|
| --- |
|
|
|
|
| ## **Get Started** |
|
|
| ```python |
| from transformers import AutoTokenizer, AutoModelForImageTextToText |
| import torch |
| |
| model_id = "Surpem/Supertron2-24B" |
| |
| tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True) |
| model = AutoModelForImageTextToText.from_pretrained( |
| model_id, |
| torch_dtype=torch.bfloat16, |
| device_map="auto", |
| trust_remote_code=True, |
| ) |
| |
| messages = [ |
| {"role": "user", "content": "Write a Python function that checks if a string is a palindrome."} |
| ] |
| |
| text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
| inputs = tokenizer(text, return_tensors="pt").to(model.device) |
| outputs = model.generate(**inputs, max_new_tokens=512) |
| print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:], skip_special_tokens=True)) |
| ``` |
|
|
| --- |
|
|
| ## **Hardware Requirements** |
|
|
| | Precision | Min VRAM | Recommended | |
| |---|---:|---:| |
| | bfloat16 | 48 GB | 80 GB+ | |
| | 4-bit quantized | 16 GB | 24 GB+ | |
|
|
| For long contexts or larger batches, use more VRAM or reduce batch size and max sequence length. |
|
|
| --- |
|
|
| ## **Intended Use** |
|
|
| Supertron2-24B is intended for: |
|
|
| * Coding assistance |
| * Software engineering reasoning |
| * Math and science explanations |
| * General chat and instruction following |
| * Writing, summarization, and brainstorming |
| * Research and technical assistance |
|
|
| --- |
|
|
| ## **Limitations** |
|
|
| * The model can make mistakes and should be checked for important work. |
| * It may produce incorrect code, incomplete reasoning, or outdated information. |
| * It should not be used as the only source for medical, legal, financial, or safety-critical decisions. |
| * Generated code should be reviewed and tested before use. |
|
|
| --- |
|
|
| ## **Citation** |
|
|
| ```bibtex |
| @misc{surpem2026supertron2-24b, |
| title={Supertron2-24B -- Instruction-Tuned Coding and Reasoning Model}, |
| author={Surpem}, |
| year={2026}, |
| url={https://huggingface.co/Surpem/Supertron2-24B}, |
| } |
| ``` |
|
|
