---
library_name: transformers
license: other
license_name: qwen
license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
base_model: Qwen/Qwen2.5-72B-Instruct
tags:
- generated_from_trainer
model-index:
- name: 72B-Qwen2.5-Kunou-v1-run2
  results: []
---


# 72B-Qwen2.5-Kunou-v1

I do not really have anything planned for this model other than it being a generalist, and Roleplay Model? It was just something made and planned in minutes. 
<br>Same with the 14 and 32B version.
<br>Kunou's the name of an OC I worked on for a couple of years, for a... fanfic. mmm... 

A kind-of successor to L3-70B-Euryale-v2.2 in all but name? I'm keeping Stheno/Euryale lineage to Llama series for now.
<br>I had a version made on top of Nemotron, a supposed Euryale 2.4 but that flopped hard, it was not my cup of tea.
<br>This version is basically a better, more cleaned up Dataset used on Euryale and Stheno.

Recommended Model Settings | *Look, I just use these, they work fine enough. I don't even know how DRY or other meme samplers work. Your system prompt matters more anyway.*
```
Prompt Format: ChatML
Temperature: 1.1
min_p: 0.1
```


Future-ish plans:
<br>\- Complete this model series.
<br>\- Further refine the Datasets used for quality, more secondary chats, more creative-related domains. (Inspired by Drummer)
<br>\- Work on my other incomplete projects. About half a dozen on the backburner for a while now.

Special thanks to my wallet for funding this, my juniors who share a single braincell between them, and my current national service. Holidays = more calls.

Also sorry for the inactivity. Life was in the way. It still is, just less so, for now.

https://sao10k.carrd.co/ for contact.

---

[<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>

axolotl version: `0.5.2`
```yaml
base_model: Qwen/Qwen2.5-72B-Instruct
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer

load_in_8bit: false
load_in_4bit: false
strict: false
sequence_len: 16384
bf16: auto
fp16:
tf32: false
flash_attention: true

adapter: lora
lora_model_dir:
lora_r: 128
lora_alpha: 16
lora_dropout: 0.1
lora_target_linear: true
lora_fan_in_fan_out:
peft_use_rslora: true

# Data
dataset_prepared_path: last_run_prepared
datasets:
  - path: datasets/amoral-full-sys-prompt.json # Unalignment Data
    type: customchatml
  - path: datasets/mimi-superfix-RP-filtered-fixed.json # RP / Creative-Instruct Data
    type: customchatml
  - path: datasets/hespera-smartshuffle.json # esperus-v2-Instruct Data
    type: customchatml
warmup_steps: 15

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

# Iterations
num_epochs: 1

# Batching
gradient_accumulation_steps: 4
micro_batch_size: 1
gradient_checkpointing: "unsloth"

# Optimizer
optimizer: paged_ademamix_8bit
lr_scheduler: cosine
learning_rate: 0.000004
weight_decay: 0.1
max_grad_norm: 25.0

# Iterations
num_epochs: 1

# Misc
deepspeed: ./deepspeed_configs/zero3_bf16.json
```

</details><br>