Update README.md

README.md

@@ -11,7 +11,6 @@ library_name: transformers
 tags:
 - mergekit
 - merge
-license: other
 ---
 # miqu-1-120b
 
@@ -28,6 +27,8 @@ Thanks for the support, [CopilotKit](https://github.com/CopilotKit/CopilotKit) -
 
 Thanks for the EXL2 and GGUF quants, [Lone Striker](https://huggingface.co/LoneStriker)!
 
+Also available: [miquliz-120b-v2.0](https://huggingface.co/wolfram/miquliz-120b-v2.0) – Miqu's younger, fresher sister; a new and improved Goliath-like merge of Miqu and lzlv.
+
 ## Review
 
 u/SomeOddCodeGuy wrote on r/LocalLLaMA:
@@ -44,7 +45,12 @@ u/SomeOddCodeGuy wrote on r/LocalLLaMA:
 
 (Note: All I did was merge this, though, so the credit mostly belongs to [Mistral AI](https://mistral.ai/) (giving proper attribution!) and the creators of [mergekit](https://github.com/arcee-ai/mergekit) as well as [Venus-120b-v1.2](https://huggingface.co/nsfwthrowitaway69/Venus-120b-v1.2) and [MegaDolphin-120b](https://huggingface.co/cognitivecomputations/MegaDolphin-120b) who inspired it.)
 
-## Prompt template: Mistral
+## Model Details
+
+* Max Context: 32764 tokens (kept the weird number from the original/base model)
+* Layers: 140
+
+### Prompt template: Mistral
 
 ```
 <s>[INST] {prompt} [/INST]
@@ -52,11 +58,6 @@ u/SomeOddCodeGuy wrote on r/LocalLLaMA:
 
 See also: [🐺🐦‍⬛ LLM Prompt Format Comparison/Test: Mixtral 8x7B Instruct with **17** different instruct templates : LocalLLaMA](https://www.reddit.com/r/LocalLLaMA/comments/18ljvxb/llm_prompt_format_comparisontest_mixtral_8x7b/)
 
-## Model Details
-
-* Max Context: 32764 tokens (kept the weird number from the original/base model)
-* Layers: 140
-
 ## Merge Details
 
 ### Merge Method
@@ -111,4 +112,14 @@ slices:
 
 * [My Ko-fi page](https://ko-fi.com/wolframravenwolf) if you'd like to tip me to say thanks or request specific models to be tested or merged with priority. Also consider supporting your favorite model creators, quantizers, or frontend/backend devs if you can afford to do so. They deserve it!
 
-#### DISCLAIMER: THIS IS [BASED ON A LEAKED ASSET](https://huggingface.co/miqudev/miqu-1-70b/discussions/10) AND HAS NO LICENSE ASSOCIATED WITH IT. USE AT YOUR OWN RISK.
+## Disclaimer
+
+*This model contains leaked weights and due to its content it should not be used by anyone.* 😜 But seriously:
+
+### License
+
+**What I *know*:** [Weights produced by a machine are not copyrightable](https://www.reddit.com/r/LocalLLaMA/comments/1amc080/psa_if_you_use_miqu_or_a_derivative_please_keep/kpmamte/) so there is no copyright owner who could grant permission or a license to use, or restrict usage, once you have acquired the files.
+
+### Ethics
+
+**What I *believe*:** All generative AI, including LLMs, only exists because it is trained mostly on human data (both public domain and copyright-protected, most likely acquired without express consent) and possibly synthetic data (which is ultimately derived from human data, too). It is only fair if something that is based on everyone's knowledge and data is also freely accessible to the public, the actual creators of the underlying content. Fair use, fair AI!