Asherah 7B by ResplendentAI

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  Merged Model   Autotrain compatible   Dataset:epiculous/gnosis Dataset:resplendentai/syntheti...   En   Endpoints compatible   Gguf   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Asherah 7B Benchmarks

Asherah 7B (ResplendentAI/Asherah_7B)

Asherah 7B Parameters and Internals

Model Type 
text generation, multimodal
Use Cases 
Areas:
research, commercial applications
Limitations:
Multimodal functionality limited to GGUF users
Additional Notes 
Model started as a merge of four Sanji Watsuki's models and finetuned on Gnosis and Synthetic Soul datasets.
Supported Languages 
English (N/A)
Training Details 
Data Sources:
Gnosis, Synthetic Soul
Methodology:
Merge and finetuning
Input Output 
Accepted Modalities:
text
Performance Tips:
Recommended to use Koboldcpp.
LLM NameAsherah 7B
Repository ๐Ÿค—https://huggingface.co/ResplendentAI/Asherah_7B 
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-04-30
MaintainerResplendentAI
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ResplendentAI/Asherah_7B.

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