| --- |
| license: apache-2.0 |
| language: |
| - en |
| pipeline_tag: text-generation |
| tags: |
| - reasoning |
| - math |
| - coding |
| - distillation |
| - small-model |
| --- |
| |
| # DeepBrainz R1-0.6B |
|
|
| **DeepBrainz R1-0.6B** is a compact, reasoning-focused language model designed for efficient problem-solving in **mathematics, logic, and code-related tasks**. |
|
|
| Despite its small size, R1-0.6B emphasizes **structured reasoning**, **stepwise problem decomposition**, and **stable generation behavior**, making it well-suited for research, education, and lightweight deployment scenarios. |
|
|
| --- |
|
|
| ## Model Highlights |
|
|
| - Compact **0.6B parameter** model optimized for efficiency |
| - Strong focus on **reasoning-oriented tasks** |
| - Stable long-form generation for its size class |
| - Compatible with standard Hugging Face inference tooling |
|
|
| --- |
|
|
| ## Intended Use |
|
|
| This model is intended for: |
| - Research and experimentation in reasoning-focused LLMs |
| - Educational use and demonstrations |
| - Lightweight inference environments |
| - Building blocks for agentic or tool-augmented systems |
|
|
| It is **not** intended as a general-purpose chat replacement for larger frontier models. |
|
|
| --- |
|
|
| ## Usage |
|
|
| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| |
| model_id = "DeepBrainz/deepbrainz-r1-0.6b" |
| |
| tokenizer = AutoTokenizer.from_pretrained(model_id) |
| model = AutoModelForCausalLM.from_pretrained(model_id) |
| |
| prompt = "Solve step by step: If x + 3 = 7, what is x?" |
| inputs = tokenizer(prompt, return_tensors="pt") |
| |
| outputs = model.generate( |
| **inputs, |
| max_new_tokens=256, |
| temperature=0.6, |
| top_p=0.95, |
| do_sample=True, |
| ) |
| |
| print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
| ``` |
|
|
| --- |
|
|
| ## Training & Alignment |
|
|
| R1-0.6B was trained using modern post-training techniques emphasizing reasoning quality and generation stability. |
| Specific training details are intentionally abstracted in this public-facing release. |
|
|
| --- |
|
|
| ## Limitations |
|
|
| Performance is constrained by model size |
| Not optimized for open-ended conversational chat |
| Best for short-to-medium complexity reasoning tasks |
|
|
| --- |
|
|
| ## License |
|
|
| Apache 2.0 |
|
|
| --- |
|
|
| ## About DeepBrainz |
|
|
| DeepBrainz builds reasoning-first AI systems focused on efficiency, structure, and real-world problem-solving. |
|
|
| More evaluations and updates will follow in future releases. |
|
|
