Update README.md

README.md

@@ -1,79 +1,84 @@
 ---
-license: apache-2.0
-base_model: mistralai/Mistral-7B-v0.1
-tags:
-- generated_from_trainer
-model-index:
-- name: Mistral-Noromaid-7B
-  results: []
+license: cc-by-nc-4.0
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/630dfb008df86f1e5becadc3/VKX2Z2yjZX5J8kXzgeCYO.png)
 
-[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
-# Mistral-Noromaid-7B
 
-This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.1514
+---
+
+# Disclaimer:
+## This is a ***TEST*** version, don't expect everything to work!!!
+
+You may use our custom **prompting format**(scroll down to download them!), or simple alpaca. **(Choose which fits best for you!)**
+
+---
+
+
+# This model is a collab between [IkariDev](https://huggingface.co/IkariDev) and [Undi](https://huggingface.co/Undi95)!
+
+Tired of the same merges everytime? Here it is, the Noromaid-7b-v0.2 model. Suitable for RP, ERP and general stuff.
+
+[Recommended generation settings - No settings yet(Please suggest some over in the Community tab!)]
+
+<!-- description start -->
+## Description
+
+<!-- [Recommended settings - contributed by localfultonextractor](https://files.catbox.moe/ue0tja.json) -->
+
+This repo contains fp16 files of Noromaid-7b-v0.2.
+
+[FP16 - by IkariDev and Undi](https://huggingface.co/NeverSleep/Noromaid-7b-v0.2)
+
+<!-- [GGUF - By TheBloke](https://huggingface.co/TheBloke/Athena-v4-GGUF)-->
+
+<!-- [GPTQ - By TheBloke](https://huggingface.co/TheBloke/Athena-v4-GPTQ)-->
+
+<!-- [exl2[8bpw-8h] - by AzureBlack](https://huggingface.co/AzureBlack/Echidna-13b-v0.3-8bpw-8h-exl2)-->
+
+<!-- [AWQ - By TheBloke](https://huggingface.co/TheBloke/Athena-v4-AWQ)-->
+
+<!-- [fp16 - by IkariDev+Undi95](https://huggingface.co/IkariDev/Athena-v4)-->
+
+[GGUF - by IkariDev and Undi](https://huggingface.co/NeverSleep/Noromaid-7b-v0.2-GGUF)
+<!-- [OLD(GGUF - by IkariDev+Undi95)](https://huggingface.co/IkariDev/Athena-v4-GGUF)-->
+
+## Ratings:
 
-## Model description
+Note: We have permission of all users to upload their ratings, we DONT screenshot random reviews without asking if we can put them here!
 
-More information needed
+No ratings yet!
 
-## Intended uses & limitations
+If you want your rating to be here, send us a message over on DC and we'll put up a screenshot of it here. DC name is "ikaridev" and "undi".
 
-More information needed
+<!-- description end -->
+<!-- prompt-template start -->
+## Prompt template: Custom format, or Alpaca
 
-## Training and evaluation data
+### Custom format:
+UPDATED!! SillyTavern config files: [Context](https://files.catbox.moe/ifmhai.json), [Instruct](https://files.catbox.moe/ttw1l9.json).
 
-More information needed
+### Alpaca:
+```
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
 
-## Training procedure
+### Instruction:
+{prompt}
 
-### Training hyperparameters
+### Response:
 
-The following hyperparameters were used during training:
-- learning_rate: 5e-06
-- train_batch_size: 2
-- eval_batch_size: 2
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 10
-- num_epochs: 2
+```
 
-### Training results
+## Training data used:
+- [no_robots dataset](https://huggingface.co/Undi95/Llama2-13B-no_robots-alpaca-lora) let the model have more human behavior, enhances the output.
+- [Aesir Private RP dataset] New data from a new and never used before dataset, add fresh data, no LimaRP spam, this is 100% new. Thanks to the [MinvervaAI Team](https://huggingface.co/MinervaAI) and, in particular, [Gryphe](https://huggingface.co/Gryphe) for letting us use it!
+- [Another private Aesir dataset]
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.2103        | 0.0   | 1    | 1.5604          |
-| 1.3191        | 0.1   | 192  | 1.2539          |
-| 1.1727        | 0.2   | 384  | 1.2346          |
-| 1.3466        | 0.3   | 576  | 1.2171          |
-| 0.9652        | 0.4   | 768  | 1.2073          |
-| 0.996         | 0.5   | 960  | 1.1920          |
-| 0.7863        | 0.6   | 1152 | 1.1804          |
-| 0.8883        | 0.7   | 1344 | 1.1700          |
-| 0.9351        | 0.8   | 1536 | 1.1590          |
-| 0.8361        | 0.9   | 1728 | 1.1511          |
-| 1.2718        | 1.0   | 1920 | 1.1438          |
-| 0.9613        | 1.09  | 2112 | 1.1585          |
-| 1.4066        | 1.19  | 2304 | 1.1550          |
-| 0.7388        | 1.29  | 2496 | 1.1538          |
-| 1.0686        | 1.39  | 2688 | 1.1531          |
-| 1.3536        | 1.49  | 2880 | 1.1533          |
-| 0.4994        | 1.59  | 3072 | 1.1517          |
-| 0.7574        | 1.69  | 3264 | 1.1519          |
-| 0.7574        | 1.79  | 3456 | 1.1516          |
-| 1.1436        | 1.89  | 3648 | 1.1514          |
-| 1.4085        | 1.99  | 3840 | 1.1514          |
+This is a full finetune.
+Trained until 2 epoch(4000 steps), trained on mistral 0.1 7b base.
 
+## Others
 
-### Framework versions
+Undi: If you want to support me, you can [here](https://ko-fi.com/undiai).
 
-- Transformers 4.37.0.dev0
-- Pytorch 2.0.1+cu118
-- Datasets 2.15.0
-- Tokenizers 0.15.0
+IkariDev: Visit my [retro/neocities style website](https://ikaridevgit.github.io/) please kek