初始化项目，由ModelHub XC社区提供模型
Model: SanjiWatsuki/Kunoichi-DPO-7B Source: Original Platform
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README.md
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---
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license: cc-by-nc-4.0
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---
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<!-- description start -->
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## Description
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This repository hosts **Kunoichi-DPO-7B**, a DPO finetune using Intel's Orca pairs with the Alpaca template on Kunoichi-7B. This model is targeted at general use. In my testing, it has stronger reasoning and instruction following capabilities than Kunoichi-7B but it may be worse for roleplaying purposes due to the alignment from the Orca dataset.
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This model is undergoing benchmark testing and I will update the model page with the finalized results.
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| Model | MT Bench | EQ Bench | MMLU | Logic Test |
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|----------------------|----------|----------|---------|-------------|
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| GPT-4-Turbo | 9.32 | - | - | - |
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| GPT-4 | 8.99 | 62.52 | 86.4 | 0.86 |
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| **Kunoichi-DPO-7B** | **8.29** | **41.60** | - | **0.59** |
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| **Kunoichi-7B** | **8.14** | **44.32** | **64.9** | **0.58** |
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| Starling-7B | 8.09 | - | 63.9 | 0.51 |
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| Claude-2 | 8.06 | 52.14 | 78.5 | - |
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| Silicon-Maid-7B | 7.96 | 40.44 | 64.7 | 0.54 |
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| Loyal-Macaroni-Maid-7B | 7.95 | 38.66 | 64.9 | 0.57 |
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| GPT-3.5-Turbo | 7.94 | 50.28 | 70 | 0.57 |
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| Claude-1 | 7.9 | - | 77 | - |
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| Openchat-3.5 | 7.81 | 37.08 | 64.3 | 0.39 |
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| Dolphin-2.6-DPO | 7.74 | 42.88 | 61.9 | 0.53 |
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| Zephyr-7B-beta | 7.34 | 38.71 | 61.4 | 0.30 |
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| Llama-2-70b-chat-hf | 6.86 | 51.56 | 63 | - |
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| Neural-chat-7b-v3-1 | 6.84 | 43.61 | 62.4 | 0.30 |
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| Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench |
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|---|---:|---:|---:|---:|---:|
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| **Kunoichi-DPO-7B**|**58.4**| 45.08 | 74| 66.99| 47.52|
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| [Kunoichi-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-7B)|57.54| 44.99| 74.86| 63.72| 46.58|
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| [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)| 56.85 | 44.74 | 75.6 | 59.89 | 47.17 |
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| [Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B) | 56.45| 44.74| 74.26| 61.5| 45.32|
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| [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B) | 53.51 | 43.67 | 73.24 | 55.37 | 41.76 |
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| [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) | 52.42 | 42.75 | 72.99 | 52.99 | 40.94 |
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| [openchat/openchat_3.5](https://huggingface.co/openchat/openchat_3.5) | 51.34 | 42.67 | 72.92 | 47.27 | 42.51 |
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| [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha) | 51.16 | 42.06 | 72.72 | 47.33 | 42.53 |
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| [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) | 50.99 | 37.33 | 71.83 | 55.1 | 39.7 |
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The model is intended to be used with up to an 8k context window. Using a NTK RoPE alpha of 2.6, the model can be used experimentally up to a 16k context window.
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<!-- description end -->
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<!-- prompt-template start -->
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## Prompt template: Custom format, or Alpaca
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### Alpaca:
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```
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Below is an instruction that describes a task. Write a response that appropriately completes the request.
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### Instruction:
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{prompt}
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### Response:
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```
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### SillyTavern format:
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I found the best SillyTavern results from using the Noromaid template.
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SillyTavern config files: [Context](https://files.catbox.moe/ifmhai.json), [Instruct](https://files.catbox.moe/ttw1l9.json).
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Additionally, here is my highly recommended [Text Completion preset](https://huggingface.co/SanjiWatsuki/Loyal-Macaroni-Maid-7B/blob/main/Characters/MinP.json). You can tweak this by adjusting temperature up or dropping min p to boost creativity or raise min p to increase stability. You shouldn't need to touch anything else!
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"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.norm.weight": "model-00003-of-00003.safetensors"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
91122
tokenizer.json
Normal file
91122
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
40
tokenizer_config.json
Normal file
40
tokenizer_config.json
Normal file
@@ -0,0 +1,40 @@
|
||||
{
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [],
|
||||
"bos_token": "<s>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": null,
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user