59 lines
1.4 KiB
Markdown
59 lines
1.4 KiB
Markdown
---
|
|
base_model: Qwen/Qwen3-0.6B-Base
|
|
library_name: transformers
|
|
pipeline_tag: text-generation
|
|
tags:
|
|
- qwen3
|
|
- math
|
|
- sft
|
|
- qlora
|
|
- merged-lora
|
|
---
|
|
|
|
# qwen3-0.6b-math-l45-qlora-merged-fp16
|
|
|
|
This is a merged fp16 model created from `Qwen/Qwen3-0.6B-Base` plus a QLoRA adapter trained on math level 4-5 data.
|
|
|
|
## Source
|
|
|
|
- Base model: `Qwen/Qwen3-0.6B-Base`
|
|
- Source adapter: `final adapter`
|
|
- Merge method: manual LoRA merge, `W_merged = W_base + (B @ A) * scaling`
|
|
|
|
## Prompt Format
|
|
|
|
```text
|
|
### System:
|
|
{system_prompt}
|
|
|
|
### Problem:
|
|
{problem}
|
|
|
|
### Solution:
|
|
|
|
```
|
|
|
|
System prompt:
|
|
|
|
```text
|
|
You are a precise mathematical problem solver.
|
|
Follow this exact output contract:
|
|
1. Solve the problem step by step with concise reasoning.
|
|
2. Use valid LaTeX math notation for mathematical expressions.
|
|
3. Preserve LaTeX commands such as \frac{...}{...}, \sqrt{...}, x^{...}, subscripts, equations, and inequalities.
|
|
4. Put the final answer on its own last line exactly in this form: Final Answer: \boxed{...}
|
|
5. Do not use Markdown code fences.
|
|
6. Do not switch to a different answer format.
|
|
```
|
|
|
|
## Usage
|
|
|
|
```python
|
|
from transformers import AutoTokenizer, AutoModelForCausalLM
|
|
import torch
|
|
|
|
repo_id = "zannvznn/qwen3-0.6b-math-l45-qlora-merged-fp16"
|
|
tokenizer = AutoTokenizer.from_pretrained(repo_id, trust_remote_code=True)
|
|
model = AutoModelForCausalLM.from_pretrained(repo_id, torch_dtype=torch.float16, device_map="auto", trust_remote_code=True)
|
|
```
|