Chanjun commited on
Commit
7bdac3d
1 Parent(s): 5187bf2

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +11 -25
README.md CHANGED
@@ -18,30 +18,19 @@ pipeline_tag: text-generation
18
 
19
  ## Model Details
20
 
21
- ### Model Developers
22
- - [Upstage](https://en.upstage.ai)
23
-
24
- ### Backbone Model
25
- - [LLaMA](https://github.com/facebookresearch/llama/tree/llama_v1)
26
-
27
- ### Variations
28
- - It has different model parameter sizes and sequence lengths: [30B/1024](https://huggingface.co/upstage/llama-30b-instruct), [30B/2048](https://huggingface.co/upstage/llama-30b-instruct-2048), [65B/1024](https://huggingface.co/upstage/llama-65b-instruct).
29
-
30
- ### Input
31
- - Models solely process textual input.
32
-
33
- ### Output
34
- - Models solely generate textual output.
35
-
36
- ### License
37
- - This model is under a **Non-commercial** Bespoke License and governed by the Meta license. You should only use this repository if you have been granted access to the model by filling out [this form](https://docs.google.com/forms/d/e/1FAIpQLSfqNECQnMkycAp2jP4Z9TFX0cGR4uf7b_fBxjY_OjhJILlKGA/viewform), but have either lost your copy of the weights or encountered issues converting them to the Transformers format.
38
-
39
- ### Where to send comments
40
- - Instructions on how to provide feedback or comments on a model can be found by opening an issue in the [Hugging Face community's model repository](https://huggingface.co/upstage/llama-30b-instruct-2048/discussions).
41
 
42
  ## Dataset Details
43
 
44
  ### Used Datasets
 
45
  - [openbookqa](https://huggingface.co/datasets/openbookqa)
46
  - [sciq](https://huggingface.co/datasets/sciq)
47
  - [Open-Orca/OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca)
@@ -62,11 +51,8 @@ pipeline_tag: text-generation
62
 
63
  ## Hardware and Software
64
 
65
- ### Hardware
66
- - We utilized an A100x8 for training our model.
67
-
68
- ### Training Factors
69
- - We fine-tuned this model using a combination of the [DeepSpeed library](https://github.com/microsoft/DeepSpeed) and the [HuggingFace trainer](https://huggingface.co/docs/transformers/main_classes/trainer).
70
 
71
  ## Evaluation Results
72
 
 
18
 
19
  ## Model Details
20
 
21
+ * **Developed by**: [Upstage](https://en.upstage.ai)
22
+ * **Backbone Model**: [LLaMA](https://github.com/facebookresearch/llama/tree/llama_v1)
23
+ * **Variations**: It has different model parameter sizes and sequence lengths: [30B/1024](https://huggingface.co/upstage/llama-30b-instruct), [30B/2048](https://huggingface.co/upstage/llama-30b-instruct-2048), [65B/1024](https://huggingface.co/upstage/llama-65b-instruct)
24
+ * **Language(s)**: English
25
+ * **Library**: [HuggingFace Transformers](https://github.com/huggingface/transformers)
26
+ * **License**: This model is under a **Non-commercial** Bespoke License and governed by the Meta license. You should only use this repository if you have been granted access to the model by filling out [this form](https://docs.google.com/forms/d/e/1FAIpQLSfqNECQnMkycAp2jP4Z9TFX0cGR4uf7b_fBxjY_OjhJILlKGA/viewform), but have either lost your copy of the weights or encountered issues converting them to the Transformers format
27
+ * **Where to send comments**: Instructions on how to provide feedback or comments on a model can be found by opening an issue in the [Hugging Face community's model repository](https://huggingface.co/upstage/llama-30b-instruct-2048/discussions)
28
+ * **Contact**: For questions and comments about the model, please email `contact@upstage.ai`
 
 
 
 
 
 
 
 
 
 
 
 
29
 
30
  ## Dataset Details
31
 
32
  ### Used Datasets
33
+
34
  - [openbookqa](https://huggingface.co/datasets/openbookqa)
35
  - [sciq](https://huggingface.co/datasets/sciq)
36
  - [Open-Orca/OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca)
 
51
 
52
  ## Hardware and Software
53
 
54
+ * **Hardware**: We utilized an A100x8 for training our model
55
+ * **Training Factors**: We fine-tuned this model using a combination of the [DeepSpeed library](https://github.com/microsoft/DeepSpeed) and the [HuggingFace trainer](https://huggingface.co/docs/transformers/main_classes/trainer)
 
 
 
56
 
57
  ## Evaluation Results
58