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Asherah 7B by ResplendentAI

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Asherah 7B is an open-source language model by ResplendentAI. Features: 7b LLM, VRAM: 14.4GB, Context: 8K, License: apache-2.0, Merged, HF Score: 70.3, LLM Explorer Score: 0.14, Arc: 68.2, HellaSwag: 86.1, MMLU: 63.9, TruthfulQA: 58.1, WinoGrande: 78.8, GSM8K: 66.9.

  Merged Model   Dataset:epiculous/gnosis Dataset:resplendentai/syntheti...   En   Endpoints compatible   Gguf   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ResplendentAI/Asherah_7B 

Asherah 7B Benchmarks

ARC: 68.17 vs 96.7 (so35)-29.5%
HellaSwag: 86.05 vs 95.3 (gpt4)-9.7%
MMLU: 63.92 vs 88.3 (so35)-27.6%
TruthfulQA: 58.07 vs 59 (gpt4)-1.6%
WinoGrande: 78.77 vs 87.5 (gpt4)-10%
GSM8K: 66.87 vs 96.4 (so35)-30.6%
LLME Score: 0.13789
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Asherah 7B (ResplendentAI/Asherah_7B)
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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 🤗https://huggingface.co/ResplendentAI/Asherah_7B 
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-04-01
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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