Text Generation
PEFT
Safetensors
GGUF
English
materialsanalyst-ai-7b
MaterialsAnalyst-AI-7B
materials-science
computational-materials
materials-analysis
chain-of-thought
reasoning-model
property-prediction
materials-discovery
crystal-structure
materials-informatics
scientific-ai
7b
quantized
fine-tuned
lora
json-mode
structured-output
materials-engineering
band-gap-prediction
computational-chemistry
materials-characterization
Update README.md
Browse files
README.md
CHANGED
|
@@ -2,8 +2,6 @@
|
|
| 2 |
license: apache-2.0
|
| 3 |
---
|
| 4 |
|
| 5 |
-
|
| 6 |
-
---
|
| 7 |
|
| 8 |
MaterialsAnalyst-AI-7B transforms raw materials data into actionable insights. This **open source** model, built on Qwen 2.5 Instruct 7B with LoRA fine-tuning, shows its work through step-by-step reasoning before delivering structured analysis and application recommendations.
|
| 9 |
|
|
@@ -11,7 +9,7 @@ MaterialsAnalyst-AI-7B transforms raw materials data into actionable insights. T
|
|
| 11 |
- **Structured Reasoning**: Shows step-by-step analysis before delivering conclusions
|
| 12 |
- **Property Correlation**: Identifies relationships between material properties and their implications
|
| 13 |
- **Application Prediction**: Suggests practical applications based on material characteristics
|
| 14 |
-
|
| 15 |
## See It In Action:
|
| 16 |
|
| 17 |
Input Example:
|
|
@@ -83,7 +81,7 @@ Considering all these properties together, this material would be particularly v
|
|
| 83 |
**Verdict**: SiC is a high-performance material with exceptional thermal, mechanical, and electronic properties, making it ideal for demanding applications like power devices and high-temperature environments. Its stability and robustness give it an edge over competing wide-bandgap materials.
|
| 84 |
</answer>
|
| 85 |
```
|
| 86 |
-
|
| 87 |
# Getting Started
|
| 88 |
|
| 89 |
## Installation
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
---
|
| 4 |
|
|
|
|
|
|
|
| 5 |
|
| 6 |
MaterialsAnalyst-AI-7B transforms raw materials data into actionable insights. This **open source** model, built on Qwen 2.5 Instruct 7B with LoRA fine-tuning, shows its work through step-by-step reasoning before delivering structured analysis and application recommendations.
|
| 7 |
|
|
|
|
| 9 |
- **Structured Reasoning**: Shows step-by-step analysis before delivering conclusions
|
| 10 |
- **Property Correlation**: Identifies relationships between material properties and their implications
|
| 11 |
- **Application Prediction**: Suggests practical applications based on material characteristics
|
| 12 |
+
|
| 13 |
## See It In Action:
|
| 14 |
|
| 15 |
Input Example:
|
|
|
|
| 81 |
**Verdict**: SiC is a high-performance material with exceptional thermal, mechanical, and electronic properties, making it ideal for demanding applications like power devices and high-temperature environments. Its stability and robustness give it an edge over competing wide-bandgap materials.
|
| 82 |
</answer>
|
| 83 |
```
|
| 84 |
+
|
| 85 |
# Getting Started
|
| 86 |
|
| 87 |
## Installation
|