Update README.md

README.md

@@ -1,17 +1,79 @@
 ---
 library_name: transformers
-license: llama3.3
+license: other
+license_name: eva-llama3.3
 base_model: meta-llama/Llama-3.3-70B-Instruct
 tags:
 - generated_from_trainer
 model-index:
 - name: dev/shm/EVA-LLaMA-3.33-70B-v0.1
   results: []
+datasets:
+- anthracite-org/kalo-opus-instruct-22k-no-refusal
+- Nopm/Opus_WritingStruct
+- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
+- Gryphe/Sonnet3.5-Charcard-Roleplay
+- Gryphe/ChatGPT-4o-Writing-Prompts
+- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
+- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
+- nothingiisreal/Reddit-Dirty-And-WritingPrompts
+- allura-org/Celeste-1.x-data-mixture
+- cognitivecomputations/dolphin-2.9.3
 ---
 
-<!-- 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. -->
-
+<h1>EVA LLaMA 3.33 70B v0.0</h1>
+
+
+<p>
+  A RP/storywriting specialist model, full-parameter finetune of Llama-3.3-70B-Instruct on mixture of synthetic and natural data.<br>
+  It uses Celeste 70B 0.1 data mixture, greatly expanding it to improve versatility, creativity and "flavor" of the resulting model.<br>
+  This model was built with Llama by Meta.<br>
+</p>
+
+<p>
+  <p>Prompt format is ChatML.</p><br>
+  <h3>Recommended sampler values:</h3>
+  <ul>
+  <li>Temperature: 1</li>
+  <li>Min-P: 0.05</li>
+  <li>Repetition Penalty: 1.03</li>
+  </ul>
+  
+  <h3>Recommended SillyTavern preset (via CalamitousFelicitousness):</h3>
+    <ul><li><a href="https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2/blob/main/EV01.json">Master import</a></li></ul>
+    
+</p>
+
+<p>
+  <br>
+  <h3>
+    Training data:
+  </h3>
+    <ul>
+      <li>Celeste 70B 0.1 data mixture minus Opus Instruct subset. See that model's <a href=https://huggingface.co/nothingiisreal/L3.1-70B-Celeste-V0.1-BF16>card</a> for details.</li>
+      <li>Kalomaze's Opus_Instruct_25k dataset, filtered for refusals.</li>
+      <li>A subset (1k rows) of ChatGPT-4o-WritingPrompts by Gryphe</li>
+      <li>A subset (2k rows) of Sonnet3.5-Charcards-Roleplay by Gryphe</li>
+      <li>Synthstruct and SynthRP datasets by Epiculous</li>
+      <li>A subset from Dolphin-2.9.3, including filtered version of not_samantha and a small subset of systemchat.</li>
+    </ul>
+  <h3>
+     Training time and hardware:
+  </h3>
+      <ul><li>10 hours on 8xH100 SXM</a></li></ul><br>
+</p>
+  <p>Model was created by Kearm, Auri and Cahvay.</p>
+  <h4>Special thanks:</h4><ul>
+  <li>to Cahvay for his work on dataset filtering.</li>
+  <li>to Gryphe, Lemmy, Kalomaze, Nopm, Epiculous and CognitiveComputations for the data</li>
+  <li>and to Allura-org for support, feedback, beta-testing and doing quality control of EVA models.</li></ul>
+
+  <h3>Licensing</h3>
+  <p>Llama-3.3-70B-Instruct by Meta is licensed under <a href=https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct/blob/main/LICENSE>Llama 3.3 Community License Agreement (further referred as L3.3 license)</a> and is a subject to <a href=https://www.llama.com/llama3_3/use-policy>Acceptable Use Policy for Llama Materials</a>.<br>
+  This derivative is free for personal, research and commercial use on terms of L3.3 license with one extra clause: <br>
+  - Infermatic Inc and any of its employees or paid associates cannot utilize, distribute, download, or otherwise make use of EVA models for any purpose.</p>
+
+  
 [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
 <details><summary>See axolotl config</summary>
 
@@ -386,67 +448,4 @@ deepspeed: deepspeed_configs/zero3_bf16.json
 weight_decay: 0.2
 ```
 
-</details><br>
-
-# dev/shm/EVA-LLaMA-3.33-70B-v0.1
-
-This model is a fine-tuned version of [meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.0225
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 3e-05
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 8
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 64
-- total_eval_batch_size: 8
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 20
-- num_epochs: 3
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 1.6108        | 0.0061 | 1    | 1.6226          |
-| 1.0653        | 0.2498 | 41   | 1.0166          |
-| 0.8656        | 0.4996 | 82   | 0.9681          |
-| 0.8904        | 0.7494 | 123  | 0.9443          |
-| 0.9196        | 0.9992 | 164  | 0.9317          |
-| 0.5136        | 1.2451 | 205  | 0.9584          |
-| 0.5903        | 1.4947 | 246  | 0.9509          |
-| 0.544         | 1.7443 | 287  | 0.9394          |
-| 0.5435        | 1.9939 | 328  | 0.9347          |
-| 0.2605        | 2.2420 | 369  | 1.0237          |
-| 0.2796        | 2.4916 | 410  | 1.0240          |
-| 0.305         | 2.7412 | 451  | 1.0220          |
-| 0.2457        | 2.9909 | 492  | 1.0225          |
-
-
-### Framework versions
-
-- Transformers 4.45.1
-- Pytorch 2.5.1+cu124
-- Datasets 2.21.0
-- Tokenizers 0.20.3
+</details><br>