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Browse files- README.md +58 -0
- config.json +43 -0
- mergekit_config.yml +24 -0
- model.safetensors.index.json +1 -0
- output.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
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---
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license: apache-2.0
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---
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# LuminRP-13B-128k-v0.5
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LuminRP-13B-128k-v0.5 is the 13B parameter version of the v0.5, LuminRP-7B model which specializes in RP/ERP by merging a couple models that excels in it.
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***
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>[!IMPORTANT]
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> * Link to [Ppoyaa/LuminRP-7B-128k-v0.5](https://huggingface.co/Ppoyaa/LuminRP-7B-128k-v0.5)
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> * This model can and will output X-rated content.
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***
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## SillyTavern
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**Template**: Alpaca, ChatML, and Mistral should be okay.
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**Instruct Mode**: On
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***
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "Ppoyaa/LuminRP-13B-128k-v0.5"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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***
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Merge Details Below:
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<details><summary>See Merge Config</summary>
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```
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ChaoticNeutrals/BuRP_7B
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Endevor/InfinityRP-v1-7B
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Nitral-AI/Kunocchini-7b-128k-test
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core-3/kuno-royale-v2-7b
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KatyTheCutie/LemonadeRP-4.5.3
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grimjim/kukulemon-7B
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MaziyarPanahi/Calme-7B-Instruct-v0.9
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icefog72/WestIceLemonTeaRP-32k-7b
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crestf411/daybreak-kunoichi-2dpo-7b
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Undi95/Mistral-RP-0.1-7B
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```
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</details><br>
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config.json
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{
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"_name_or_path": "Ppoyaa/LuminRP-7B-128k-v0.5",
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"architectures": [
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"MistralForCausalLM"
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],
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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": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 131072,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 56,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 16.0,
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"finetuned": true,
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"original_max_position_embeddings": 8192,
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"type": "yarn"
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},
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.3",
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"use_cache": true,
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"vocab_size": 32000,
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"quantization_config": {
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"quant_method": "exl2",
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"version": "0.1.1",
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"bits": 3.0,
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"head_bits": 6,
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"calibration": {
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"rows": 100,
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"length": 2048,
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"dataset": "(default)"
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}
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}
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}
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mergekit_config.yml
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slices:
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- sources:
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- layer_range: [0, 8]
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model: Ppoyaa/LuminRP-7B-128k-v0.5
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- sources:
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- layer_range: [4, 12]
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model: Ppoyaa/LuminRP-7B-128k-v0.5
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- sources:
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- layer_range: [8, 16]
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model: Ppoyaa/LuminRP-7B-128k-v0.5
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- sources:
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- layer_range: [12, 20]
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model: Ppoyaa/LuminRP-7B-128k-v0.5
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- sources:
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- layer_range: [16, 24]
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model: Ppoyaa/LuminRP-7B-128k-v0.5
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- sources:
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- layer_range: [20, 28]
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model: Ppoyaa/LuminRP-7B-128k-v0.5
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- sources:
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- layer_range: [24, 32]
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model: Ppoyaa/LuminRP-7B-128k-v0.5
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merge_method: passthrough
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dtype: bfloat16
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model.safetensors.index.json
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