What are the hardware requirements for Asherah 7B?

Asherah 7B requires approximately 14.4 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Asherah 7B and how large is it?

Asherah 7B is developed by ResplendentAI, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Asherah 7B perform on standard benchmarks?

Asherah 7B has the following published scores: MMLU 63.92. Compare against reference models on this page or on the LLM Explorer leaderboards.

Asherah 7B by ResplendentAI — VRAM 14.4GB, 8K context

Name: Asherah 7B
Author: ResplendentAI

Asherah 7B is an open-source language model by ResplendentAI. Features: 7b LLM, VRAM: 14.4GB, Context: 8K, License: apache-2.0, Merged, LLM Explorer Score: 0.13, Arc: 68.2, HellaSwag: 86.1, MMLU: 63.9, 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 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 Name	Asherah 7B
Repository 🤗	https://huggingface.co/ResplendentAI/Asherah_7B
Merged Model	Yes
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-31
Maintainer	ResplendentAI
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Asherah 7B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
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Astral 256K 7B	250K / 14.4 GB	9	0
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Note: green Score (e.g. "73.2") means that the model is better than ResplendentAI/Asherah_7B.