Linkbricks Horizon AI Korean Mistral Nemo Sft DPO 12B by Saxo

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  Autotrain compatible Base model:mistralai/mistral-n... Base model:quantized:mistralai...   Cn   Conversational Dataset:maywell/ko ultrafeedba... Dataset:saxo/en ko translation... Dataset:saxo/en ko translation... Dataset:saxo/ko aspect sentime... Dataset:saxo/ko cn translation... Dataset:saxo/ko government qa ... Dataset:saxo/ko jp translation... Dataset:saxo/ko summarization ... Dataset:saxo/openorca cleaned ...   En   Endpoints compatible   Ggml   Gguf   Instruct   Jp   Ko   Mistral   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Linkbricks Horizon AI Korean Mistral Nemo Sft DPO 12B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Linkbricks Horizon AI Korean Mistral Nemo Sft DPO 12B (Saxo/Linkbricks-Horizon-AI-Korean-Mistral-Nemo-sft-dpo-12B)

Linkbricks Horizon AI Korean Mistral Nemo Sft DPO 12B Parameters and Internals

LLM NameLinkbricks Horizon AI Korean Mistral Nemo Sft DPO 12B
Repository ๐Ÿค—https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Mistral-Nemo-sft-dpo-12B 
Base Model(s)  Mistral Nemo Instruct 2407   mistralai/Mistral-Nemo-Instruct-2407
Model Size12b
Required VRAM24.5 GB
Updated2024-12-30
MaintainerSaxo
Model Typemistral
Instruction-BasedYes
Model Files  24.5 GB   7.5 GB   8.7 GB   10.1 GB   13.0 GB   4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Supported Languagesko en jp cn
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|q4|gguf|q4_k|q5_k
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.43.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token</s>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Saxo/Linkbricks-Horizon-AI-Korean-Mistral-Nemo-sft-dpo-12B.

Rank the Linkbricks Horizon AI Korean Mistral Nemo Sft DPO 12B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227