Commit
•
9755981
1
Parent(s):
0982a20
Update README.md
Browse files
README.md
CHANGED
@@ -13,7 +13,7 @@ Besides this it is trained on following datasets:
|
|
13 |
|
14 |
[orca-math-word-problems-200k](https://huggingface.co/datasets/microsoft/orca-math-word-problems-200k)
|
15 |
|
16 |
-
[
|
17 |
|
18 |
The idea was to check how this Model will perform with both Code & Maths datasets. This model is very good with Coding.
|
19 |
Maths outputs are also very good. You can test out this model.
|
@@ -34,7 +34,7 @@ Exllama v2: TBA
|
|
34 |
|
35 |
**Training:**
|
36 |
|
37 |
-
Entire dataset was trained on 4 x A100 80GB. For 2 epoch, training took more than 160 Hours. Axolotl codebase was used for training purpose.
|
38 |
Entire data is trained on Llama-3-8B by Meta.
|
39 |
|
40 |
**Example Prompt:**
|
|
|
13 |
|
14 |
[orca-math-word-problems-200k](https://huggingface.co/datasets/microsoft/orca-math-word-problems-200k)
|
15 |
|
16 |
+
[CodeFeedback-Filtered-Instruction](https://huggingface.co/datasets/m-a-p/CodeFeedback-Filtered-Instruction)
|
17 |
|
18 |
The idea was to check how this Model will perform with both Code & Maths datasets. This model is very good with Coding.
|
19 |
Maths outputs are also very good. You can test out this model.
|
|
|
34 |
|
35 |
**Training:**
|
36 |
|
37 |
+
Entire dataset was trained on 4 x A100 80GB. For 2 epoch, training took more than 160 Hours. Axolotl & Deepspeed codebase was used for training purpose.
|
38 |
Entire data is trained on Llama-3-8B by Meta.
|
39 |
|
40 |
**Example Prompt:**
|