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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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# 72B-Qwen2.5-Kunou-v1 |
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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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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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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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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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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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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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https://sao10k.carrd.co/ for contact. |
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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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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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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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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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# 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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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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# Iterations |
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num_epochs: 1 |
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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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# 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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# Iterations |
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num_epochs: 1 |
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# Misc |
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deepspeed: ./deepspeed_configs/zero3_bf16.json |
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``` |
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</details><br> |
