153 lines
2.6 KiB
Markdown
153 lines
2.6 KiB
Markdown
---
|
|
license: apache-2.0
|
|
language:
|
|
- en
|
|
tags:
|
|
- math
|
|
- reasoning
|
|
- small-model
|
|
- efficient
|
|
- education
|
|
- local
|
|
- qwen
|
|
- qwen3
|
|
- qwen3.5
|
|
- 4b
|
|
- small
|
|
- mathematics
|
|
- cot
|
|
- chainofthought
|
|
- thinking
|
|
- daily-use
|
|
- localai
|
|
- ai
|
|
- gpt
|
|
- dqnlabs
|
|
- dqngpt
|
|
- gguf
|
|
- lmstudio
|
|
- ollama
|
|
pipeline_tag: text-generation
|
|
---
|
|
|
|
# dqnMath-v1
|
|
|
|
dqnMath-v1 is a 4B-parameter language model designed for fast, clear, and reliable mathematical problem solving.
|
|
|
|
It focuses on solving problems efficiently, with concise steps and minimal unnecessary explanation. It's optimized for solving daily mathematical problems quickly and efficiently, with minimal token count.
|
|
|
|
|
|
---
|
|
|
|
## Model Description
|
|
|
|
- **Model type:** Causal Language Model
|
|
- **Parameters:** 4B
|
|
- **Primary use:** Mathematical problem solving
|
|
- **Style:** Direct answers with optional, minimal step-by-step reasoning
|
|
|
|
dqnMath v1 4B is optimized for clarity and speed rather than long-form reasoning or benchmark performance.
|
|
|
|
---
|
|
|
|
## Intended Uses
|
|
|
|
### Direct Use
|
|
|
|
- Solving school-level math problems
|
|
- Performing quick calculations
|
|
- Explaining basic mathematical steps
|
|
- Assisting with homework and practice
|
|
- Low to moderate reasoning-heavy math
|
|
|
|
---
|
|
|
|
## Key Characteristics
|
|
|
|
- Produces concise and readable solutions
|
|
- Prioritizes correctness over verbosity
|
|
- Uses structured reasoning when needed
|
|
- Designed for consistent outputs across similar problems
|
|
- Reliable and minimal hallucination
|
|
|
|
---
|
|
|
|
## Example
|
|
|
|
**Input**
|
|
```text
|
|
Solve: 2x + 3 = 7
|
|
```
|
|
|
|
**Output**
|
|
```text
|
|
2x = 4
|
|
x = 2
|
|
```
|
|
|
|
---
|
|
|
|
**Input**
|
|
```text
|
|
Convert 0.333... to a fraction
|
|
```
|
|
|
|
**Output**
|
|
```text
|
|
Let x = 0.333...
|
|
|
|
10x = 3.333...
|
|
10x - x = 3
|
|
9x = 3
|
|
x = 1/3
|
|
```
|
|
|
|
---
|
|
|
|
## Usage
|
|
|
|
This model is available on many platforms and is compatible with many formats!
|
|
|
|
The GGUF format is compatible with llama.cpp and LM Studio.
|
|
Other formats include MLX (LM Studio, optimized for Apple devices), and HF (universal compatibility).
|
|
|
|
|
|
---
|
|
|
|
## Training Details
|
|
|
|
dqnMath-v1 is fine-tuned for structured mathematical reasoning and concise problem-solving.
|
|
|
|
The training process emphasizes:
|
|
|
|
- Step-by-step clarity
|
|
- Reduced verbosity
|
|
- Reliable first-attempt answers
|
|
|
|
---
|
|
|
|
## Limitations
|
|
|
|
- Limited performance on advanced mathematics
|
|
- Not optimized for non-mathematical domains
|
|
- May simplify explanations rather than explore deeply
|
|
|
|
---
|
|
|
|
## Efficiency
|
|
|
|
dqnMath-v1 is designed to run efficiently on consumer hardware, with support for quantized formats.
|
|
|
|
---
|
|
|
|
## License
|
|
|
|
Apache 2.0
|
|
|
|
---
|
|
|
|
## Author
|
|
|
|
Developed by DQN Labs.
|
|
Huge thanks to the team at mradermacher for quantizing this model!
|
|
This model card was generated with the help of dqnGPT v0.2! |