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---
tags:
- roleplay
- creative-writing
- merge
- mergekit
- kto
- rl 
- finetune
datasets:
- Delta-Vector/Tauri-IFeval-Dans-Tulu-KTO
- Delta-Vector/Tauri-Opus-Accepted-GPT-Rejected-Opus-Writing-Prompts
- Delta-Vector/Tauri-KTO-Instruct-Mix
- Delta-Vector/Tauri-Purpura-Arkhaios-CC-KTO
base_model:
- Delta-Vector/Archaeo-32B
pipeline_tag: text-generation
library_name: transformers
---
```
                        __~a~_
                        ~~;  ~_
          _                ~  ~_                _
         '_\;__._._._._._._]   ~_._._._._._.__;/_`
         '(/'/'/'/'|'|'|'| (    )|'|'|'|'\'\'\'\)'
         (/ / / /, | | | |(/    \) | | | ,\ \ \ \)
        (/ / / / / | | | ~(/    \) ~ | | \ \ \ \ \)
       (/ / / / /  ~ ~ ~   (/  \)    ~ ~  \ \ \ \ \)
      (/ / / / ~          / (||)|          ~ \ \ \ \)
      ~ / / ~            M  /||\M             ~ \ \ ~
       ~ ~                  /||\                 ~ ~
                           //||\\
                           //||\\
                           //||\\
                           '/||\'        "Archaeopteryx"
```

<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <style>
      @import url('https://fonts.googleapis.com/css2?family=VT323&display=swap');      
      body {
        background: #0a0017;
        margin: 0;
        padding: 20px;
        font-family: 'VT323', monospace;
        color: #ff00aa;
        text-shadow: 0 0 8px #ff00aa;
        animation: glitch-flicker 0.2s infinite alternate;
      }
      @keyframes glitch-flicker {
        0% { text-shadow: 0 0 5px #ff00aa, 0 0 15px #ff00aa; }
        100% { text-shadow: 0 0 8px #ff0066, 0 0 18px #ff0066; }
      }
      .crt-container {
        padding: 10px;
        max-width: 900px;
        margin: auto;
      }
      .crt-case {
        background: linear-gradient(135deg, #130021, #20002c);
        border-radius: 10px;
        padding: 15px;
        box-shadow:
          inset 2px 2px 10px rgba(255,0,170,0.5),
          2px 2px 5px rgba(255,0,170,0.3),
          0 0 25px rgba(255,0,170,0.2);
      }
      .crt-screen {
        background: #0c011a;
        padding: 20px;
        border-radius: 10px;
        box-shadow:
          inset 0 0 25px rgba(255,0,170,0.3),
          0 0 15px rgba(255,0,170,0.7);
        filter: contrast(1.2) brightness(1.2);
        text-shadow: 0px 0px 5px #ff00aa;
        animation: glow-pulse 3s infinite alternate;
      }
      @keyframes glow-pulse {
        0% { box-shadow: inset 0 0 20px rgba(255,0,170,0.3), 0 0 15px rgba(255,0,170,0.3); }
        100% { box-shadow: inset 0 0 30px rgba(255,0,170,0.5), 0 0 25px rgba(255,0,170,0.5); }
      }
      h2 {
        color: #ff33cc;
        text-align: center;
        font-size: 28px;
        text-shadow:
          0 0 8px #ff33cc,
          0 0 18px #ff0044;
      }
      pre {
        background: rgba(255,0,170,0.1);
        padding: 10px;
        border-radius: 10px;
        color: #ff66cc;
        font-size: 14px;
        box-shadow: inset 0 0 10px rgba(255,0,170,0.5);
      }
      .glitch {
        animation: text-glitch 0.5s infinite alternate;
      }
      @keyframes text-glitch {
        0% { transform: translateX(-2px); text-shadow: 0 0 5px #ff0066, 0 0 10px #ff33cc; }
        100% { transform: translateX(2px); text-shadow: 0 0 8px #ff00aa, 0 0 20px #ff0099; }
      }
      .neon-link {
        color: #ff66cc;
        text-decoration: none;
        transition: text-shadow 0.3s ease;
      }
      .neon-link:hover {
        text-shadow: 0px 0px 15px #ff66cc, 0 0 25px rgba(255,0,170,0.5);
      }
      .ascii-art {
        text-align: center;
        font-size: 12px;
        color: #ff33cc;
        text-shadow: 0px 0px 5px #ff00ff;
        margin-bottom: 20px;
      }
      .quantso-container {
        display: flex;
        justify-content: center;
        gap: 20px;
        margin-top: 20px;
      }
      .quantso-box {
        background: rgba(255,0,170,0.1);
        padding: 15px;
        border-radius: 10px;
        text-align: center;
        box-shadow: inset 0 0 10px rgba(255,0,170,0.5);
        flex: 1;
        max-width: 150px;
      }
    </style>
</head>
<body>
  <div class="crt-container">
    <div class="crt-case">
      <div class="crt-screen">
       <p>Support me on Ko-Fi: https://ko-fi.com/deltavector</p>
        <p>A series of Merges made for Roleplaying & Creative Writing, This model is a RL train ontop of Archaeo. A merge using Hamanasu-Magnum & Kunou, Trained with Axolotl on 8xH200s.</p>
        <h3>ChatML formatting</h3>
        <pre>
"""<|im_start|>system
system prompt<|im_end|>
<|im_start|>user
Hi there!<|im_end|>
<|im_start|>assistant
Nice to meet you!<|im_end|>
<|im_start|>user
Can I ask a question?<|im_end|>
<|im_start|>assistant
"""
        </pre>
        <h3>Axolotl Configuration</h3>
        <pre>
base_model: ./model

plugins:
  - axolotl.integrations.liger.LigerPlugin
  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
liger_rope: true
liger_rms_norm: true
liger_layer_norm: true
liger_glu_activation: true
liger_fused_linear_cross_entropy: true
cut_cross_entropy: false

load_in_8bit: false
load_in_4bit: false
strict: false

rl: kto
kto_undesirable_weight: 1.0

datasets:
  - path: Delta-Vector/Tauri-Opus-Accepted-GPT-Rejected-Opus-Writing-Prompts
    split: train
    type: chatml.argilla
  - path: Delta-Vector/Tauri-IFeval-Dans-Tulu-KTO
    split: train
    type: chatml.argilla
  - path: Delta-Vector/Tauri-KTO-Instruct-Mix
    split: train
    type: chatml.argilla
  - path: Delta-Vector/Tauri-Purpura-Arkhaios-CC-KTO
    split: train
    type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./archaeo-kto-v2
remove_unused_columns: false

#@lora_mlp_kernel: true
#lora_qkv_kernel: true
#lora_o_kernel: true


adapter: lora
lora_model_dir:

sequence_len: 8192
pad_to_sequence_len: false

lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
  - gate_proj
  - down_proj
  - up_proj
  - q_proj
  - v_proj
  - k_proj
  - o_proj

wandb_project: Francois-V2
wandb_entity: 
wandb_watch:
wandb_name: Archaeo-32b-KTO
wandb_log_model:

gradient_accumulation_steps: 4
micro_batch_size: 4
num_epochs: 1
optimizer: paged_ademamix_8bit
lr_scheduler: constant_with_warmup
learning_rate: 5e-6
max_grad_norm: 0.001

train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true

gradient_checkpointing: true
gradient_checkpointing_kwargs:
  use_reentrant: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true

warmup_steps: 100
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: ./deepspeed_configs/zero3_bf16.json
weight_decay: 0.0025
fsdp:
fsdp_config:
        </pre>
        <h3>Quants:</h3>
        <div class="quantso-container">
          <div class="quantso-box">
            <strong>GGUF</strong><br>
            <a class="neon-link" href="#">https://huggingface.co/mradermacher/Axo-Merge-Archaeo-V2-Lora-GGUF</a>
          </div>
          <div class="quantso-box">
            <strong>EXL2</strong><br>
            <a class="neon-link" href="#">Delta-Vector/Archaeo-32B-KTO-exl2</a>
          </div>
        </div>
        <h3>Credits</h3>
        <p>Thank you to: Kubernetes-bad, LucyKnada, Kalomaze, Alicat, Intervitens, Samantha Twinkman, Tav, Trappu & The rest of Anthracite</p>
      </div>
    </div>
  </div>
</body>
</html>