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Oumuamua 7B Instruct V2 RP by Aratako

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Oumuamua 7B Instruct V2 RP is an open-source language model by Aratako. Features: 7b LLM, VRAM: 14.6GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.14.

  Conversational Dataset:aratako/bluemoon top50... Dataset:aratako/limarp-augment... Dataset:aratako/rosebleu-1on1-... Dataset:grimulkan/limarp-augme... Dataset:omniaicreator/japanese... Dataset:omniaicreator/japanese... Dataset:sicariussicariistuff/b...   Endpoints compatible   Instruct   Ja   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Aratako/Oumuamua-7b-instruct-v2-RP 

Oumuamua 7B Instruct V2 RP Benchmarks

LLME Score: 0.14088
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Oumuamua 7B Instruct V2 RP (Aratako/Oumuamua-7b-instruct-v2-RP)
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Oumuamua 7B Instruct V2 RP Parameters and Internals

Model Type 
text generation, instruction following, role-play
Supported Languages 
ja (Japanese)
Training Details 
Data Sources:
Aratako/Rosebleu-1on1-Dialogues, Aratako/LimaRP-augmented-ja-karakuri, Aratako/Bluemoon_Top50MB_Sorted_Fixed_ja, grimulkan/LimaRP-augmented, SicariusSicariiStuff/Bluemoon_Top50MB_Sorted_Fixed, OmniAICreator/Japanese-Roleplay, OmniAICreator/Japanese-Roleplay-Dialogues
Methodology:
The model was fine-tuned using LoRA on role-play datasets. The training is conducted in two stages, first with lower-quality datasets and then with higher-quality datasets.
Context Length:
4096
Hardware Used:
A6000x4
Input Output 
Input Format:
Chat with role-play instructions and context.
Accepted Modalities:
text
Output Format:
Role-play responses
Performance Tips:
End each turn of assistant response with an EOS token for multi-turn dialogues.
LLM NameOumuamua 7B Instruct V2 RP
Repository 🤗https://huggingface.co/Aratako/Oumuamua-7b-instruct-v2-RP 
Model Size7b
Required VRAM14.6 GB
Updated2026-04-02
MaintainerAratako
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.8 GB: 3-of-3
Supported Languagesja
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size42800
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Aratako/Oumuamua-7b-instruct-v2-RP.

Rank the Oumuamua 7B Instruct V2 RP Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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