Update README.md

README.md

@@ -8,20 +8,7 @@ language:
 tags:
 - conversational
 - chat
-- rp
 - roleplay
-- friend
-- slm
-- small
-- slim
-- slender
-- general
-- creative
-co2_eq_emissions:
-  emissions: 200
-  training_type: fine-tuning
-  hardware_used: 1 GTX1060-3GB, AMD Radeon(TM) Graphics & AMD Ryzen 5 5600G[4.4GHz OC]
-base_model: XeTute/AURORA-OpenBeta-V0.5-GGUF
 library_name: GGUF
 pipeline_tag: text-generation
 ---
@@ -30,40 +17,44 @@ pipeline_tag: text-generation
 
 <a href='https://ko-fi.com/C0C2ZXNON' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi3.png?v=3' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>
 
-NOTE / ANNOUNCEMENT:
-We've jumped from V0.5 to this version, V1.0, this is the last version of the series.
-We're sad to announce the end of XT_AURORA, our first SLM series, due to no community activity.
-We, XeTute, have put in a lot of effort and countless nights to improve our models, but given on how much time, passion and effort we've put in, we got nothing back from the community.
-Thank you for so many downloads on this series of SLMs. We'll continue to update model cards and chat templates.
-Thank you for being part of our journey.
-
-About this model:
-This model, XT_AURORA, trained and published by us, XeTute. The model was finetuned ontop of the previos beta-verion[XT_AURORA-OpenBeta-V0.5-GGUF].
-This version[V1.0] achieves better general performance, it outperforms every previos model[V0.1 - V0.5].
-We asked ChatGPT4o to ask some questions, and rate the answers on a score of 1 to 10.
-The average rating was 7.5.
-
-About XT_AURORA:
-XT_AURORA is a series of SLMs[Slender Language Models], which all aim to provide a friendly, human-like conversation.
-The serie is limited by its size[about 1.1B Params], but we still try to get the best possible output.
-The context-length is very stable till 2048 tokens, after that limit, it will perform only slightly better than V0.5.
-It can be upscaled using rope, with the cost being slightly less logic.
-
-About this version[V1.0]:
-* High quality output[sometimes outperforms 3B models in HumanEval], as long as the context size is under 2049 Tokens.
-* We provide a system prompt[Files and Versions --> chat_template]. The SLM was partly trained using that template, so the output is better if you use the prompt at start.
-* AURORA expects the chat template to be Vicuna[{{user}}: {some input}\nAURORA: {some output}\n{{user}}]. The model will only work correctly with this format.
-* Recommended temperature is from 0.4 to 0.75.
-* Improved chat quality in general emotional / unemotional chat, logical & illogical roleplaying, etc.
-
-All in one, AURORA's aim is to provide a digital friend, which is also accessible to humans with low-end devices.
-
-Using KoboldCPP, we got the model running[using termux] on a POCO X5 Pro 5G[CPU only, Octa Core].
-We saw ~5 Tokens generation per second, ~15 Tokens processing per second. [In Energy Saver mode]
-
-Support us: 
-X: <https://www.x.com/XeTute>
-GitHub: <https://www.github.com/N0CTRON/>
-Subdomain on Neocities: <https://xetute.neocities.org/>
+Note:
+- All previous beta versions of this series of SLMs were deleted, because almost no downloads were made.
+- V1.0 is the last model in this series which will be published, because of too little community activity.
+
+Metadata:
+- Name:
+- - AURORA
+- Version:
+- - 1.0
+- Author:
+- - XeTute
+- Size:
+- - 1.1B
+- Architecture:
+- - LLaMA, Transformer.
+
+We introduce AURORA V1.0 - the first model in this series which is actually use able.
+Its usecases are following:
+- Next-Word prediction for mobile devices: 
+- - This Model can be reliably packaged into a keyboard-app to help make Next-Word suggestions more accurate.
+- Conversations:
+- - AURORA can engage in conversations using the Vicuna format, remember to replace "ASSISTANT" with "AURORA" though.
+- - AURORA can engage in SFW roleplay with simple character definitions. It wasn't trained on NSFW.
+- - AURORA can engage in simple, short Q&A. It was trained on factual data too, which means it performs well for its size.
+
+Recommended settings:
+- Temperature 0.1 - 0,4 is stable.
+- Context Length of 2048(base) to 4096(RoPE) will work well for story-telling, role-playing and simple conversations.
+- Output Length: 256 will work very stable, but you can extent to 512. Anything beyond that point is risky, text might become repetitous.
+- Chat Format: 
+```For roleplay:
+{name of your roleplay}: {input}
+{name of AURORA's character}: {output}
+```
+or, 
+```For normal chatting:
+USER: {input}
+AURORA: {output}
+```
 
 We wish you a friendly chat with AURORA.