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KnutJaegersberg
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KafkaLM-8x7B-German

Text Generation
Transformers
Safetensors
German
mixtral
deutsch
german
seedbox
mistral
text-generation-inference
Inference Endpoints
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KnutJaegersberg doubledsbv commited on
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Duplicate from seedboxai/KafkaLM-8x7B-German-V0.1

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Co-authored-by: Dennis <doubledsbv@users.noreply.huggingface.co>

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  3. config.json +30 -0
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - deutsch
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+ - german
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+ - seedbox
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+ - mistral
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+ - mixtral
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+ license: apache-2.0
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+ datasets:
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+ - seedboxai/multitask_german_examples_32k
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+ language:
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+ - de
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+ pipeline_tag: text-generation
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+ ---
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+
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+ ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/645ded34a45b4182d7f5c385/9QywLGTbRrHYSq-m6fQmJ.jpeg)
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+
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+
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+ # KafkaLM-8x7b-German-V0.1
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+
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+ **KafkaLM 8x7b** is a MoE model based on [Mistral AI´s Mixtral 8x7b](https://mistral.ai/news/mixtral-of-experts/) which was finetuned on an ensemble of popular high-quality open-source instruction sets (translated from English to German).
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+
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+ KafkaLM 8x7b is a [Seedbox](https://huggingface.co/seedboxai) project trained by [Dennis Dickmann](https://huggingface.co/doubledsbv).
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+
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+ **Why Kafka?**
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+ The models are proficient, yet creative, have some tendencies to linguistically push boundaries 😊
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+
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+
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+ ## Model Details
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+
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+ 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.
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+
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+ 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.
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+
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+
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+ ### Dataset
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+
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+ I used a 8k filtered version of the following [seedboxai/multitask_german_examples_32k](https://huggingface.co/datasets/seedboxai/multitask_german_examples_32k)
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+
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+ ### Prompt Format
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+
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+
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+ This model follows the subsequent prompt format:
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+
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+ ```
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+ <|system|>
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+ Du bist ein freundlicher und hilfsbereiter KI-Assistent. Du beantwortest Fragen faktenorientiert und präzise, ohne dabei relevante Fakten auszulassen.</s>
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+ <|user|>
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+ Welche Möglichkeiten der energetischen Sanierung habe ich neben Solar und Energiespeicher?</s>
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+ <|assistant|>
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+ ```
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+
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+ ### Inference
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+
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+ Getting started with the model is straightforward
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+
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+ ```python
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+ import transformers
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+
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+ model_id = "seedboxai/KafkaLM-8x7B-German-V0.1"
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+
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+ model = AutoModelForCausalLM.from_pretrained(model_id, load_in_4bit=True, trust_remote_code=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model_id)
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+
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+ def generate_prompt(input):
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+ prompt = ''
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+ sys_prompt = "Du bist ein freundlicher und hilfsbereiter KI-Assistent. Du beantwortest Fragen faktenorientiert und präzise, ohne dabei relevante Fakten auszulassen."
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+
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+ prompt += f"<|system|>\n{sys_prompt.strip()}</s>\n"
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+ prompt += f"<|user|>\n{input.strip()}</s>\n"
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+ prompt += f"<|assistant|>\n"
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+
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+ return prompt.strip()
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+
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+
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+ generate_text = transformers.pipeline(
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+ model=model, tokenizer=tokenizer,
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+ return_full_text=True,
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+ task='text-generation',
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+ temperature=0.5,
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+ max_new_tokens=512,
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+ top_p=0.95,
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+ top_k=40,
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+ do_sample=True,
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+ )
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+
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+ print(generate_text(generate_prompt("Wer ist eigentlich dieser Kafka?"))
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+
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+ ```
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+
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+ ## Disclaimer
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+
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+ The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model.
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+ This model should only be used for research purposes. The original Llama2 license and all restrictions of datasets used to train this model apply.
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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