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Model: PetroGPT/WestSeverus-7B-DPO-v2 Source: Original Platform
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README.md
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---
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license: apache-2.0
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language:
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- en
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---
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# WestSeverus - 7B - DPO - v2
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## ☘️ Model Description
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WestSeverus-7B-DPO-v2 is a WestLake Family model trained over [WestSeverus-7B](https://huggingface.co/FelixChao/WestSeverus-7B).
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The model was trained on several dpo datasets and it can perform well on basic math problem.
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WestSeverus-7B-DPO-v2 can be used in mathematics, chemical, physics and even coding for further research and reference.
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# 📖 Table of Contents
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1. [Nous Benchmark Results](#🪄-nous-benchmark-results)
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- AGIEval
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- GPT4All
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- TruthfulQA Scores
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- BigBench
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2. [Open LLM Leaderboard](#🏆-open-llm-leaderboard)
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- ARC
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- HellaSwag
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- MMLU
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- TruthfulQA
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- Winogrande
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- GSM8K
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3. [EvalPlus Leaderboard](#⚡-evalplus-leaderboard)
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- HumanEval
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- HumanEval_Plus
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- MBPP
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- MBPP_Plus
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4. [Prompt Format](#⚗️-prompt-format)
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5. [Quantized Models](#🛠️-quantized-models)
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6. [Gratitude](#🙏-gratitude)
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## 🪄 Nous Benchmark Results
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WestSeverus-7B-DPO-v2 is currently on the top of the [YALL - Yet Another LLM Leaderboard](https://huggingface.co/spaces/CultriX/Yet_Another_LLM_Leaderboard) created by CultriX and it outperforms on TruthfulQA Scores and BigBench.
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| Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench |
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|---|---:|---:|---:|---:|---:|
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| [**WestSeverus-7B-DPO-v2**](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2)| **60.98**| 45.29 | 77.2| **72.72**| **48.71**|
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| [CultriX/Wernicke-7B-v1](https://huggingface.co/CultriX/Wernicke-7B-v1)| 60.73| 45.59 | 77.36 | 71.46 | 48.49 |
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| [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B) | 60.25 |46.06|76.77 | 70.32 |47.86 |
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| [CultriX/MistralTrix-v1](https://huggingface.co/CultriX/MistralTrix-v1) | 60.05 | 44.98 | 76.62 | 71.44 | 47.17 |
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| [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2) | 59.42 | 44.27 | 77.86 | 67.46 | 48.09 |
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| [mlabonne/Daredevil-7B](https://huggingface.co/mlabonne/Daredevil-7B) | 58.22 | 44.85 | 76.07 | 64.89 | 47.07 |
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| [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) | 44.61 | 27.96 | 70.84 | 44.46 | 35.17 |
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## 🏆 Open LLM Leaderboard
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WestSeverus-7B-DPO-v2 is one of the top 7B model in Open LLM Leaderboard and it outperforms on TruthfulQA and GSM8K.
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |75.29|
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|AI2 Reasoning Challenge (25-Shot)|71.42|
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|HellaSwag (10-Shot) |88.27|
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|MMLU (5-Shot) |64.79|
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|TruthfulQA (0-shot) |72.37|
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|Winogrande (5-shot) |83.27|
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|GSM8k (5-shot) |71.65|
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_FelixChao__WestSeverus-7B-DPO-v2)
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## ⚡ EvalPlus Leaderboard
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| Model | HumanEval | HumanEval_Plus| MBPP | MBPP_Plus |
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|---|---:|---:|---:|---:|
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| phi-2-2.7B |48.2|43.3|61.9|51.4|
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| **WestSeverus-7B-DPO-v2**| 43.3 | 34.1 |TBD |TBD |
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| SOLAR-10.7B-Instruct-v1.0 | 42.1 | 34.3 | 42.9 | 34.6 |
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| CodeLlama-7B| 37.8| 34.1 | 57.6 |45.4 |
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## ⚗️ Prompt Format
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WestSeverus-7B-DPO-v2 was trained using the ChatML prompt templates with system prompts. An example follows below:
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```
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<|im_start|>system
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{system_message}<|im_end|>
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<|im_start|>user
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{prompt}<|im_end|>
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<|im_start|>assistant
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```
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## 🛠️ Quantized Models
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### Another version of WestSeverus Model:
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* [**PetroGPT/WestSeverus-7B-DPO**](https://huggingface.co/PetroGPT/WestSeverus-7B-DPO)
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* **GGUF**: https://huggingface.co/TheBloke/WestSeverus-7B-DPO-GGUF
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* **GGUF**: https://huggingface.co/s3nh/WestSeverus-7B-DPO-GGUF
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* **GPTQ**: https://huggingface.co/TheBloke/WestSeverus-7B-DPO-GPTQ
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* **AWQ**: https://huggingface.co/TheBloke/WestSeverus-7B-DPO-AWQ
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### MaziyarPanahi/WestSeverus-7B-DPO-v2-GGUF
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* **GGUF**: https://huggingface.co/MaziyarPanahi/WestSeverus-7B-DPO-v2-GGUF
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## 🙏 Gratitude
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* Thanks to @senseable for [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2).
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* Thanks to @jondurbin for [jondurbin/truthy-dpo-v0.1 dataset](https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1).
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* Thanks to @Charles Goddard for MergeKit.
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* Thanks to @TheBloke, @s3nh, @MaziyarPanahi for Quantized Models.
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* Thanks to @mlabonne, @CultriX for YALL - Yet Another LLM Leaderboard.
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* Thank you to all the other people in the Open Source AI community who utilized this model for further research and improvement.
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"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"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"
|
||||
}
|
||||
}
|
||||
35
special_tokens_map.json
Normal file
35
special_tokens_map.json
Normal file
@@ -0,0 +1,35 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<unk>",
|
||||
"<s>",
|
||||
"</s>"
|
||||
],
|
||||
"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
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<unk>",
|
||||
"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.
45
tokenizer_config.json
Normal file
45
tokenizer_config.json
Normal file
@@ -0,0 +1,45 @@
|
||||
{
|
||||
"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": [
|
||||
"<unk>",
|
||||
"<s>",
|
||||
"</s>"
|
||||
],
|
||||
"bos_token": "<s>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 255,
|
||||
"pad_token": "<unk>",
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": true
|
||||
}
|
||||
Reference in New Issue
Block a user