File size: 1,699 Bytes
549cc0c c43cc79 f53f6fa 9766fb3 92705f1 549cc0c 92705f1 549cc0c 9766fb3 b9713f5 92705f1 549cc0c 92705f1 549cc0c 92705f1 549cc0c 92705f1 549cc0c 92705f1 549cc0c 92705f1 549cc0c 92705f1 549cc0c 92705f1 549cc0c 92705f1 549cc0c 9766fb3 92705f1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 |
---
library_name: transformers
tags:
- CoT
- Code
license: apache-2.0
language:
- en
- zh
- ko
- ru
- de
base_model: Qwen/Qwen2.5-7B-Instruct
model_name: streamerbtw1002/Nexuim-R1-7B-Instruct
revision: main
---
## Model Details
**Model Name:** streamerbtw1002/Nexuim-R1-7B-Instruct
**Developed by:** [James Phifer](https://nexusmind.tech/) (NexusMind.tech)
**Funded by:** [Tristian](https://shuttleai.com/) (Shuttle.ai)
**License:** Apache-2.0
**Finetuned from:** Qwen/Qwen2.5-VL-7B-Instruct
**Architecture:** Transformer-based LLM
### Overview
This model is designed to handle complex mathematical questions efficiently using Chain of Thought (CoT) reasoning.
- **Capabilities:**
- General-purpose LLM
- Strong performance on multi-step reasoning tasks
- Able to respond to requests ethically while preventing human harm
- **Limitations:**
- Not evaluated extensively
- May generate incorrect or biased outputs in certain contexts
## Training Details
**Dataset:** Trained on a **120k-line** CoT dataset for mathematical reasoning.
**Training Hardware:** 1x A100 80GB GPU (Provided by Tristian at Shuttle.ai)
## Evaluation
**Status:** Not formally tested yet.
**Preliminary Results:**
- Provides detailed, well-structured answers
- Performs well on long-form mathematical problems
## Usage
```python
from transformers import AutoConfig, AutoModel, AutoTokenizer
model_id = "streamerbtw1002/Nexuim-R1-7B-Instruct"
config = AutoConfig.from_pretrained(
model_id,
revision="main"
)
model = AutoModel.from_pretrained(
model_id,
revision="main"
)
tokenizer = AutoTokenizer.from_pretrained(
model_id,
revision="main"
)
``` |