Update README.md
Browse files
README.md
CHANGED
@@ -1,5 +1,8 @@
|
|
1 |
---
|
2 |
license: other
|
|
|
|
|
|
|
3 |
---
|
4 |
|
5 |
# llama-30b-int4
|
@@ -9,7 +12,7 @@ https://github.com/qwopqwop200/GPTQ-for-LLaMa
|
|
9 |
|
10 |
LoRA credit to https://huggingface.co/baseten/alpaca-30b
|
11 |
|
12 |
-
# Update 2023-04-03
|
13 |
Recent GPTQ commits have introduced breaking changes to model loading and you should use commit `a6f363e3f93b9fb5c26064b5ac7ed58d22e3f773` in the `cuda` branch.
|
14 |
|
15 |
If you're not familiar with the Git process
|
@@ -243,5 +246,4 @@ We filtered the data from the Web based on its proximity to Wikipedia text and r
|
|
243 |
Risks and harms of large language models include the generation of harmful, offensive or biased content. These models are often prone to generating incorrect information, sometimes referred to as hallucinations. We do not expect our model to be an exception in this regard.
|
244 |
|
245 |
**Use cases**
|
246 |
-
LLaMA is a foundational model, and as such, it should not be used for downstream applications without further investigation and mitigations of risks. These risks and potential fraught use cases include, but are not limited to: generation of misinformation and generation of harmful, biased or offensive content.
|
247 |
-
|
|
|
1 |
---
|
2 |
license: other
|
3 |
+
tags:
|
4 |
+
- alpaca
|
5 |
+
- gptq
|
6 |
---
|
7 |
|
8 |
# llama-30b-int4
|
|
|
12 |
|
13 |
LoRA credit to https://huggingface.co/baseten/alpaca-30b
|
14 |
|
15 |
+
# Important - Update 2023-04-03
|
16 |
Recent GPTQ commits have introduced breaking changes to model loading and you should use commit `a6f363e3f93b9fb5c26064b5ac7ed58d22e3f773` in the `cuda` branch.
|
17 |
|
18 |
If you're not familiar with the Git process
|
|
|
246 |
Risks and harms of large language models include the generation of harmful, offensive or biased content. These models are often prone to generating incorrect information, sometimes referred to as hallucinations. We do not expect our model to be an exception in this regard.
|
247 |
|
248 |
**Use cases**
|
249 |
+
LLaMA is a foundational model, and as such, it should not be used for downstream applications without further investigation and mitigations of risks. These risks and potential fraught use cases include, but are not limited to: generation of misinformation and generation of harmful, biased or offensive content.
|
|