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Ramonda 7B DPO Ties by mayacinka

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  Merged Model   Autotrain compatible   Bardsai/jaskier-7b-dpo-v4.3 Base model:bardsai/jaskier-7b-...   Base model:paulml/ogno-7b   Endpoints compatible   Mistral   Model-index   Paulml/ogno-7b   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mayacinka/ramonda-7b-dpo-ties 

Ramonda 7B DPO Ties Benchmarks

LLME Score: 0.17185
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ramonda 7B DPO Ties (mayacinka/ramonda-7b-dpo-ties)

Ramonda 7B DPO Ties Parameters and Internals

Model Type 
text-generation
LLM NameRamonda 7B DPO Ties
Repository 🤗https://huggingface.co/mayacinka/ramonda-7b-dpo-ties 
Base Model(s)  OGNO 7B   bardsai/jaskier-7b-dpo-v4.3   paulml/OGNO-7B   bardsai/jaskier-7b-dpo-v4.3
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-14
Maintainermayacinka
Model Typemistral
Model Files  2.0 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than mayacinka/ramonda-7b-dpo-ties.

Rank the Ramonda 7B DPO Ties 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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Release v20241227
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