Create README.md

README.md

@@ -0,0 +1,123 @@
+---
+library_name: transformers
+tags:
+- llama2
+- deutsch
+- german
+- seedbox
+- awq
+license: llama2
+datasets:
+- seedboxai/multitask_german_examples_32k
+language:
+- de
+- en
+pipeline_tag: text-generation
+---
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/645ded34a45b4182d7f5c385/Lu_-yOozdIQLBe4FrmWUI.png)
+
+
+
+# KafkaLM-7B-DARE_TIES-LaserRMT-QLoRA-DPO-v0.5 
+
+**KafkaLM 7b** is a Mistral 7b model - further pre-trained on a large German dataset from Björn Plüster and LAION. [leo-mistral-hessianai-7b](https://huggingface.co/LeoLM/leo-mistral-hessianai-7b) - which was finetuned on an ensemble of popular high-quality open-source instruction sets (translated from English to German). 
+
+KafkaLM 7b is a [Seedbox](https://huggingface.co/seedboxai) project trained by [Dennis Dickmann](https://huggingface.co/doubledsbv).
+
+**Why Kafka?** 
+The models are proficient, yet creative, and have some tendencies to linguistically push boundaries 😊
+
+
+
+## THE MODEL CAN BE TESTET HERE [Kafka-7B HF Space](https://huggingface.co/spaces/doubledsbv/Kafka-7B-DARE-TIES-QLoRa-LaserRMT-DPO)
+
+
+
+## Model Details
+
+The purpose of releasing the **KafkaLM series** is to contribute to the German AI community with a set of fine-tuned LLMs that are easy to use in everyday applications across a variety of tasks.
+
+The main goal was to provide LLMs proficient in German, especially to be used in German-speaking business contexts where English alone is not sufficient.
+
+
+## LaerRMT w/ Q-Lora
+
+Based on the brilliant work from [laserRMT](https://github.com/cognitivecomputations/laserRMT/) team, I used the SNR implementation for identifying candiate layers to be used for the DPO training.
+
+### Dataset
+
+I used a 8k filtered version of the following [seedboxai/multitask_german_examples_32k](https://huggingface.co/datasets/seedboxai/multitask_german_examples_32k)
+
+### Prompt Format
+
+
+This model follows the subsequent prompt format:
+
+```
+<|system|>
+Du bist ein freundlicher und hilfsbereiter KI-Assistent. Du beantwortest Fragen faktenorientiert und präzise, ohne dabei relevante Fakten auszulassen.</s>
+<|user|>
+Welche Möglichkeiten der energetischen Sanierung habe ich neben Solar und Energiespeicher?</s>
+<|assistant|>
+```
+
+
+```
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # no parameters necessary for base model
+  - model: seedboxai/KafkaLM-7B-German-V0.1
+    parameters:
+      density: 0.65
+      weight: 0.50
+  - model: mlabonne/Monarch-7B
+    parameters:
+      density: 0.60
+      weight: 0.30
+  - model: mayflowergmbh/Wiedervereinigung-7b-dpo-laser
+    parameters:
+      density: 0.60
+      weight: 0.20
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  int8_mask: true
+dtype: bfloat16
+random_seed: 0
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "seedboxai/KafkaLM-7B-DARE_TIES-LaserRMT-QLoRA-DPO-v0.5"
+messages = [{"role": "user", "content": "Was ist der Sinn des Lebens?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```
+
+## Disclaimer
+
+The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model.
+This model should only be used for research purposes. The original Llama2 license and all restrictions of datasets used to train this model apply.