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Oneirogen 7B by gustavecortal

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  Merged Model   Autotrain compatible   Conversational Dataset:gustavecortal/dreamban...   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/gustavecortal/oneirogen-7B 

Oneirogen 7B Benchmarks

LLME Score: 0.19691
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Oneirogen 7B (gustavecortal/oneirogen-7B)

Oneirogen 7B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, dream analysis
Applications:
Generating novel dream narratives, Predicting character and emotion in dream narratives
Additional Notes 
Oneirogen was used to produce 'The Android and The Machine', an English dataset composed of 10,000 real and 10,000 generated dreams.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
DreamBank corpus
Data Volume:
More than 27,000 dream narratives
Methodology:
Finetuned using LoRA adaptation
Model Architecture:
Qwen2
Input Output 
Input Format:
Text prompting with 'Dream:' as prefix
Accepted Modalities:
text
Output Format:
Generated dream narratives with 'END.' as stopping criterion
Performance Tips:
Fine-tune on specific annotations like Hall and Van de Castle for enhanced use cases
LLM NameOneirogen 7B
Repository 🤗https://huggingface.co/gustavecortal/oneirogen-7B 
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-02-05
Maintainergustavecortal
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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

Rank the Oneirogen 7B 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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