Add pipeline_tag
Browse files
README.md
CHANGED
@@ -10,6 +10,7 @@ library_name: adapter-transformers
|
|
10 |
tags:
|
11 |
- reasoning
|
12 |
- math
|
|
|
13 |
---
|
14 |
|
15 |
TNG Technology Consulting fine-tuned the 32-billion-parameter OLMo-2 Large Language Model using AMD's MI300X GPUs and the Open R1 dataset, focusing on enhancing the model's reasoning capabilities. The MI300X accelerators, with their multi-chip module architecture and substantial memory bandwidth, facilitated efficient handling of the model's training requirements. The Open R1 dataset, curated by Hugging Face, provided a comprehensive collection of mathematical problems with detailed reasoning traces, serving as an ideal foundation for this fine-tuning endeavor. This collaborative effort underscores the potential of open-source initiatives and advanced hardware in advancing AI research.
|
|
|
10 |
tags:
|
11 |
- reasoning
|
12 |
- math
|
13 |
+
pipeline_tag: text-generation
|
14 |
---
|
15 |
|
16 |
TNG Technology Consulting fine-tuned the 32-billion-parameter OLMo-2 Large Language Model using AMD's MI300X GPUs and the Open R1 dataset, focusing on enhancing the model's reasoning capabilities. The MI300X accelerators, with their multi-chip module architecture and substantial memory bandwidth, facilitated efficient handling of the model's training requirements. The Open R1 dataset, curated by Hugging Face, provided a comprehensive collection of mathematical problems with detailed reasoning traces, serving as an ideal foundation for this fine-tuning endeavor. This collaborative effort underscores the potential of open-source initiatives and advanced hardware in advancing AI research.
|