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+ ---
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+ library_name: transformers
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+ license: other
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+ license_name: qwen
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+ license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
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+ base_model: Qwen/Qwen2.5-72B-Instruct
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: 72B-Qwen2.5-Kunou-v1
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+ results: []
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+ ---
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+
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+ ![Kunou](https://huggingface.co/Sao10K/72B-Qwen2.5-Kunou-v1/resolve/main/knn.png)
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+
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+ # This quant was made for and by [Infermatic.ai](https://infermatic.ai/)
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+
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+ [Sao10K/72B-Qwen2.5-Kunou-v1](https://huggingface.co/Sao10K/72B-Qwen2.5-Kunou-v1)
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+
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+ Copy of the original card
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+
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+ # 72B-Qwen2.5-Kunou-v1
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+
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+ 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.
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+ <br>Same with the 14 and 32B version.
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+ <br>Kunou's the name of an OC I worked on for a couple of years, for a... fanfic. mmm...
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+
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+ 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.
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+ <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.
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+ <br>This version is basically a better, more cleaned up Dataset used on Euryale and Stheno.
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+
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+ 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.*
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+ ```
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+ Prompt Format: ChatML
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+ Temperature: 1.1
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+ min_p: 0.1
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+ ```
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+
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+
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+ Future-ish plans:
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+ <br>\- Complete this model series.
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+ <br>\- Further refine the Datasets used for quality, more secondary chats, more creative-related domains. (Inspired by Drummer)
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+ <br>\- Work on my other incomplete projects. About half a dozen on the backburner for a while now.
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+
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+ Special thanks to my wallet for funding this, my juniors who share a single braincell between them, and my current national service.
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+ <br>Stay safe. There have been more emergency calls, more incidents this holiday season.
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+
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+ Also sorry for the inactivity. Life was in the way. It still is, just less so, for now. Burnout is a thing, huh?
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+
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+ https://sao10k.carrd.co/ for contact.
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+
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+ ---
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+
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+ [<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)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.5.2`
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+ ```yaml
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+ base_model: Qwen/Qwen2.5-72B-Instruct
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+ model_type: AutoModelForCausalLM
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+ tokenizer_type: AutoTokenizer
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+
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+ load_in_8bit: false
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+ load_in_4bit: false
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+ strict: false
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+ sequence_len: 16384
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+ bf16: auto
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+ fp16:
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+ tf32: false
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+ flash_attention: true
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+
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+ adapter: lora
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+ lora_model_dir:
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+ lora_r: 128
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+ lora_alpha: 16
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+ lora_dropout: 0.1
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+ lora_target_linear: true
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+ lora_fan_in_fan_out:
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+ peft_use_rslora: true
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+
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+ # Data
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+ dataset_prepared_path: last_run_prepared
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+ datasets:
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+ - path: datasets/amoral-full-sys-prompt.json # Unalignment Data - Cleaned Up from Original, Split to its own file
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+ type: customchatml
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+ - path: datasets/mimi-superfix-RP-filtered-fixed.json # RP / Creative-Instruct Data
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+ type: customchatml
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+ - path: datasets/hespera-smartshuffle.json # Hesperus-v2-Instruct Data
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+ type: customchatml
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+ warmup_steps: 15
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+
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+ plugins:
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+ - axolotl.integrations.liger.LigerPlugin
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+ liger_rope: true
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+ liger_rms_norm: true
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+ liger_layer_norm: true
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+ liger_glu_activation: true
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+ liger_fused_linear_cross_entropy: true
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+
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+ # Iterations
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+ num_epochs: 1
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+
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+ # Batching
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+ gradient_accumulation_steps: 4
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+ micro_batch_size: 1
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+ gradient_checkpointing: "unsloth"
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+
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+ # Optimizer
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+ optimizer: paged_ademamix_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 0.000004
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+ weight_decay: 0.1
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+ max_grad_norm: 25.0
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+
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+ # Iterations
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+ num_epochs: 1
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+
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+ # Misc
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+ deepspeed: ./deepspeed_configs/zero3_bf16.json
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+ ```
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+
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+ </details><br>