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Parent(s):
Duplicate from nRuaif/fiction.live-Kimiko-V2-70B
Browse filesCo-authored-by: nRuaif <nRuaif@users.noreply.huggingface.co>
- .gitattributes +35 -0
- README.md +90 -0
- adapter_config.json +26 -0
- adapter_model.bin +3 -0
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README.md
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---
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license: creativeml-openrail-m
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language:
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- en
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pipeline_tag: text-generation
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duplicated_from: nRuaif/fiction.live-Kimiko-V2-70B
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---
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## Sponsor
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Thanks to fiction.live for sponsoring this finetune and make this a reality.
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## Model Details
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** nRuaif
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- **Model type:** large language model
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- **License:**
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- **Finetuned from model [optional]:** Llama-70B
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### Model Sources [optional]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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The model uses Fastchat/ShareGPT format.
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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This model is finetuned for normal and erotic roleplay while can still an assistant. (Might not be a helpfull one through)
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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Do anything you want. I don't care
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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Model might have bias to NSFW due to the large % of NSFW data in the training set.
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## Training Details
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### Training Data
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<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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3000 convos with 4090 cut off len.
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Training Hyperparameters
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- **Training regime:** BF16, QLoRA, constant LR 5e-5 <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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### Compute Infrastructure
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The model is trained on 1 A100 for 10 hours on runpod.
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "NousResearch/Llama-2-70b-hf",
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"bias": "none",
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"fan_in_fan_out": null,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"gate_proj",
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"o_proj",
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"k_proj",
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"q_proj",
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"up_proj",
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"v_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:133212e33f0594fd0fd933b34141942882da3c035b8c08613c34ff39ed7c7fe9
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size 414592197
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