SauerkrautLM 7B LaserChat by VAGOsolutions

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  Augmentation   Autotrain compatible   Conversational   De   Dpo   En   Endpoints compatible   English   Finetuned   German   Laser   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorflow

SauerkrautLM 7B LaserChat Benchmarks

SauerkrautLM 7B LaserChat Parameters and Internals

Model Type
text-generation, finetuned
Use Cases
Limitations:
Certain language formulations may be incorrect
Additional NotesNovel training strategies effectively prevent language models from forgetting previously acquired knowledge
Supported Languages
German (improved skills), English (supported)
Training Details
Data Sources:
SFT-Sauerkraut dataset, DPO dataset
Methodology:Fine-tuned with SFT; aligned with DPO; novel training technique using partial model freezing and LaserRMT optimization
LLM NameSauerkrautLM 7B LaserChat
Repository ๐Ÿค—https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-LaserChat 
Model Size7b
Required VRAM14.4 GB
Updated2024-11-09
MaintainerVAGOsolutions
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen de
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16
SauerkrautLM 7B LaserChat (VAGOsolutions/SauerkrautLM-7b-LaserChat)

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Note: green Score (e.g. "73.2") means that the model is better than VAGOsolutions/SauerkrautLM-7b-LaserChat.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110