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Model: mayflowergmbh/Wiedervereinigung-7b-dpo Source: Original Platform
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---
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tags:
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- merge
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- mergekit
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- lazymergekit
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- DiscoResearch/DiscoLM_German_7b_v1
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- DRXD1000/Phoenix
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- VAGOsolutions/SauerkrautLM-7b-v1-mistral
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- malteos/hermeo-7b
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base_model:
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- DiscoResearch/DiscoLM_German_7b_v1
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- DRXD1000/Phoenix
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- VAGOsolutions/SauerkrautLM-7b-v1-mistral
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- malteos/hermeo-7b
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license: apache-2.0
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language:
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- de
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- en
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---
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# Wiedervereinigung-7b-dpo
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This is a dpo aligned merge of our favourite german models, scoring 7.11 on the mt-bench-de average.
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Since the original models based on mistral - three of them on the brilliant german LeoLM/leo-mistral-hessianai-7b - they are reunited in this merged model.
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Therefore the name, no nationalist ideas involved :-).
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To improve result quality they are dpo-trained with a german translation of slimorca dpo using hermeo-7B for reject results.
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If you are gpu-poor like me you can now use [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) to train with german datasets.
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Kudos to the authors of the original models at [DiscoResearch](https://huggingface.co/DiscoResearch) and [VAGOsolutions](https://huggingface.co/VAGOsolutions), [Malte Ostendorff](https://huggingface.co/malteos)
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and [Matthias Uhlig](https://huggingface.co/DRXD1000). We are your fan club.
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This model was brought to you and the nvidia bill was paid by [Mayflower GmbH](https://mayflower.de/).
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## Benchmark results: mt-bench-de
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Is the merged model alone already good? Well, of course. But it is even better with the help of some dpo tuning.
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```json
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{
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"first_turn": 7.3,
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"second_turn": 6.925,
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"categories": {
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"writing": 8.425,
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"roleplay": 8.6,
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"reasoning": 5.4,
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"math": 4.35,
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"coding": 4.3,
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"extraction": 7.975,
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"stem": 8.5,
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"humanities": 9.35
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},
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"average": 7.1125
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}
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```
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## Other Versions
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A big thank you to [LoneStriker](https://huggingface.co/LoneStriker) for the quantized models.
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| Name | Quant method | Bits |
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| ---- | ---- | ---- |
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[Wiedervereinigung-7b-dpo](https://huggingface.co/mayflowergmbh/Wiedervereinigung-7b-dpo)| Unquantized | 16 |
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[Wiedervereinigung-7b-dpo-GPTQ](https://huggingface.co/LoneStriker/Wiedervereinigung-7b-dpo-GPTQ)| GPTQ | 4 |
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[Wiedervereinigung-7b-dpo-AWQ](https://huggingface.co/LoneStriker/Wiedervereinigung-7b-dpo-AWQ)| AWQ | 4 |
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[Wiedervereinigung-7b-dpo-GGUF](https://huggingface.co/LoneStriker/Wiedervereinigung-7b-dpo-GGUF)| GGUF | 3-8 |
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[Wiedervereinigung-7b-dpo-8.0bpw-h8-exl2](https://huggingface.co/LoneStriker/Wiedervereinigung-7b-dpo-8.0bpw-h8-exl2)| EXL2 | 8 |
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[Wiedervereinigung-7b-dpo-6.0bpw-h6-exl2](https://huggingface.co/LoneStriker/Wiedervereinigung-7b-dpo-6.0bpw-h6-exl2)| EXL2 | 6 |
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[Wiedervereinigung-7b-dpo-5.0bpw-h6-exl2](https://huggingface.co/LoneStriker/Wiedervereinigung-7b-dpo-5.0bpw-h6-exl2)| EXL2 | 5 |
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[Wiedervereinigung-7b-dpo-4.0bpw-h6-exl2](https://huggingface.co/LoneStriker/Wiedervereinigung-7b-dpo-4.0bpw-h6-exl2)| EXL2 | 4 |
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[Wiedervereinigung-7b-dpo-3.0bpw-h6-exl2](https://huggingface.co/LoneStriker/Wiedervereinigung-7b-dpo-3.0bpw-h6-exl2)| EXL2 | 3 |
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Wiedervereinigung-7b is a [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing) merge of:
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* [DiscoResearch/DiscoLM_German_7b_v1](https://huggingface.co/DiscoResearch/DiscoLM_German_7b_v1)
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* [DRXD1000/Phoenix](https://huggingface.co/DRXD1000/Phoenix)
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* [VAGOsolutions/SauerkrautLM-7b-v1-mistral](https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-v1-mistral)
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* [malteos/hermeo-7b](https://huggingface.co/malteos/hermeo-7b)
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## 🧩 Configuration
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```yaml
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models:
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- model: LeoLM/leo-mistral-hessianai-7b
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# No parameters necessary for base model
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- model: DiscoResearch/DiscoLM_German_7b_v1
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parameters:
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density: 0.6
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weight: 0.25
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- model: DRXD1000/Phoenix
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parameters:
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density: 0.6
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weight: 0.25
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- model: VAGOsolutions/SauerkrautLM-7b-v1-mistral
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parameters:
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density: 0.6
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weight: 0.25
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- model: malteos/hermeo-7b
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parameters:
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density: 0.6
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weight: 0.25
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merge_method: dare_ties
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base_model: LeoLM/leo-mistral-hessianai-7b
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parameters:
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int8_mask: true
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dtype: bfloat16
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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 = "mayflowergmbh/Wiedervereinigung-7b-dpo"
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messages = [{"role": "user", "content": "Was ist ein deutsches 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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config.json
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{
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"_name_or_path": "mayflowergmbh/Wiedervereinigung-7b",
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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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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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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": "4.37.0",
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"use_cache": true,
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"vocab_size": 32000
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}
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"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.norm.weight": "model-00002-of-00002.safetensors"
|
||||
}
|
||||
}
|
||||
28
special_tokens_map.json
Normal file
28
special_tokens_map.json
Normal file
@@ -0,0 +1,28 @@
|
||||
{
|
||||
"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
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
49
tokenizer_config.json
Normal file
49
tokenizer_config.json
Normal file
@@ -0,0 +1,49 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"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>",
|
||||
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content']}}{% if (loop.last and add_generation_prompt) or not loop.last %}{{ '<|im_end|>' + '\n'}}{% endif %}{% endfor %}\n{% if add_generation_prompt and messages[-1]['role'] != 'assistant' %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": null,
|
||||
"padding_side": "left",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": true
|
||||
}
|
||||
Reference in New Issue
Block a user