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Configurable Janus 7B by vicgalle

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  Arxiv:2203.05482   Autotrain compatible Base model:kaist-ai/janus-dpo-... Base model:merge:kaist-ai/janu... Base model:merge:vicgalle/conf... Base model:vicgalle/configurab...   Conversational   Endpoints compatible   Merge   Mergekit   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/vicgalle/Configurable-Janus-7B 

Configurable Janus 7B Benchmarks

LLME Score: 0.2188
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Configurable Janus 7B Parameters and Internals

Additional Notes 
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
Training Details 
Methodology:
linear
LLM NameConfigurable Janus 7B
Repository 🤗https://huggingface.co/vicgalle/Configurable-Janus-7B 
Base Model(s)  Configurable Mistral 7B   Janus DPO 7B   vicgalle/Configurable-Mistral-7B   kaist-ai/janus-dpo-7b
Model Size7b
Required VRAM14.5 GB
Updated2025-06-09
Maintainervicgalle
Model Typemistral
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.7 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Configurable Janus 7B (vicgalle/Configurable-Janus-7B)

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Note: green Score (e.g. "73.2") means that the model is better than vicgalle/Configurable-Janus-7B.

Rank the Configurable Janus 7B Capabilities

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