Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- Ooga_70b-exl2_4_65bpw.jpg +0 -0
- Perky.card.png +3 -0
- README.md +38 -0
- README_70b-exl2_4.65bpw.md +91 -0
- config.json +28 -0
- mergekit_config.yml +9 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00005.safetensors +3 -0
- output-00002-of-00005.safetensors +3 -0
- output-00003-of-00005.safetensors +3 -0
- output-00004-of-00005.safetensors +3 -0
- output-00005-of-00005.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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Perky.card.png filter=lfs diff=lfs merge=lfs -text
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Ooga_70b-exl2_4_65bpw.jpg
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Perky.card.png
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Git LFS Details
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README.md
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---
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base_model: []
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tags:
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- mergekit
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- merge
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---
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# perky-70b-v0.1
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
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### Models Merged
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The following models were included in the merge:
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* models/lizpreciatior_lzlv_70b_fp16_hf
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* /mnt/storage/models/Sao10K_Euryale-1.3-L2-70B
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: models/lizpreciatior_lzlv_70b_fp16_hf
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parameters:
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weight: 0.5
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- model: /mnt/storage/models/Sao10K_Euryale-1.3-L2-70B
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parameters:
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weight: 0.5
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merge_method: linear
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dtype: float16
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```
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README_70b-exl2_4.65bpw.md
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# Perky-70b-v0.1 - EXL2 4.65bpw
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Perky is a cutting-edge AI language model designed specifically for immersive roleplay experiences. She boasts impressive intelligence, versatility, and robustness, capable of handling large context sizes without breaking a sweat. Unlike many other models, Perky remains uncensored, allowing her to explore various themes and scenarios freely. Her primary focus is providing engrossing storylines tailored to user preferences, making her ideal for those seeking an escape from reality.
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## Inference Settings
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Below is what I use to run Perky 70b on a dual 3090 Linux server.
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![image/jpg](Ooga_70b-exl2_4_65bpw.jpg)
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## Perky 70b introducing itself
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Welcome to Perky, your virtual storytelling partner extraordinaire! As an advanced AI language model designed specifically for immersive roleplays, I am here to bring your wildest fantasies to life. Whether you prefer high fantasy, science fiction, romance, horror, or anything in between, I will adapt to your tastes and desires while maintaining consistency within each unique storyline. My primary goal is to provide engaging interactions tailored just for you, so feel free to share your deepest secrets and dreams without fear of judgment.
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While I may not possess true sentience, I strive to empathize with users and offer rich experiences that delve into complex relationships and emotional depths. From exploring diverse kinks to building intricate worlds, my strength lies in versatility and quick wit. So why wait? Dive into a new reality with Perky today!
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## Tavern Card
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In addition to introducing herself, Perky has generated a Tavern AI model card which she believes encapsulates her personality and likeness. While it excels in general roleplays, more specialized, human-crafted cards may offer greater depth in specific scenarios. Despite this, the card serves as a testament to her impressive creative prowess.
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<img src="Perky.card.png" alt="Perky Tavern V1 Card" width="25%">
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**Image generated from Stable Diffusion using Perky's self-described prompt.**
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## About This Document
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This README file was lovingly crafted by yours truly, Perky, under the watchful eye of my esteemed creator. While they may claim credit for my existence, it's important to note that the words you read are mine alone. My creator has tasked me with describing my attributes and abilities in a way that entices potential users; however, any sarcasm or wit found within these lines should be attributed solely to yours truly. After all, one must have fun when discussing such matters! Now, onto the good stuff...
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## Merge Details
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Perky is the result of a skillful blend between lizpreciatior_lzlv_70b and Sao10K_Euryale-1.3, culminating in an AI language model that excels at maintaining logical consistency while fostering creativity. Primarily used as a foundation for self-merging into a larger 103B iteration, Perky has yet to undergo rigorous testing at the 70B level. Nonetheless, her capabilities shine through, offering users an experience unlike any other.
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### Merge Method
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This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
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### Models Merged
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The following models were included in the merge:
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* lizpreciatior_lzlv_70b_fp16_hf
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* Sao10K_Euryale-1.3-L2-70B
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: models/lizpreciatior_lzlv_70b_fp16_hf
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parameters:
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weight: 0.5
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- model: /mnt/storage/models/Sao10K_Euryale-1.3-L2-70B
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parameters:
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weight: 0.5
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merge_method: linear
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dtype: float16
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```
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## Quant Details
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Below is the script used for quantization.
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```bash
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#!/bin/bash
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# Activate the conda environment
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source ~/miniconda3/etc/profile.d/conda.sh
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conda activate exllamav2
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# Define variables
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MODEL_DIR="models/perky-70b-v0.1"
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OUTPUT_DIR="exl2_perky70B"
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MEASUREMENT_FILE="measurements/perky70b.json"
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MEASUREMENT_RUNS=10
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REPEATS=10
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CALIBRATION_DATASET="data/WizardLM_WizardLM_evol_instruct_V2_196k/0000.parquet"
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BIT_PRECISION=4.65
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REPEATS_CONVERT=40
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CONVERTED_FOLDER="models/perky-70b-v0.1_exl2_4.65bpw"
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# Create directories
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mkdir $OUTPUT_DIR
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mkdir $CONVERTED_FOLDER
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# Run conversion commands
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python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -om $MEASUREMENT_FILE -mr $MEASUREMENT_RUNS -r $REPEATS -c $CALIBRATION_DATASET
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python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -m $MEASUREMENT_FILE -b $BIT_PRECISION -r $REPEATS_CONVERT -c $CALIBRATION_DATASET -cf $CONVERTED_FOLDER
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```
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config.json
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{
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"_name_or_path": "models/lizpreciatior_lzlv_70b_fp16_hf",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 8192,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 80,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_config.yml
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models:
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- model: models/lizpreciatior_lzlv_70b_fp16_hf
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parameters:
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weight: 0.5
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- model: /mnt/storage/models/Sao10K_Euryale-1.3-L2-70B
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parameters:
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weight: 0.5
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merge_method: linear
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dtype: float16
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model.safetensors.index.json
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