What are the hardware requirements for LorablatedStock 12B?

LorablatedStock 12B requires approximately 23.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LorablatedStock 12B and how large is it?

LorablatedStock 12B is developed by yamatazen, a model with 12b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate LorablatedStock 12B?

LorablatedStock 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LorablatedStock 12B by yamatazen — VRAM 23.8GB, 128K context

Name: LorablatedStock 12B
Author: yamatazen

LorablatedStock 12B is an open-source language model by yamatazen. Features: 12b LLM, VRAM: 23.8GB, Context: 128K, Merged, LLM Explorer Score: 0.18.

Merged Model Arxiv:2403.19522 Base model:yamatazen/forgotten... Base model:yamatazen/fusioneng... Base model:yamatazen/hms-fusio... En Endpoints compatible Ja Lorablated Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/yamatazen/LorablatedStock-12B

LorablatedStock 12B Parameters and Internals

LLM Name	LorablatedStock 12B
Repository 🤗	https://huggingface.co/yamatazen/LorablatedStock-12B
Base Model(s)	HMS Fusion 12B Lorablated ForgottenMaid 12B Lorablated FusionEngine 12B Lorablated yamatazen/HMS-Fusion-12B-Lorablated yamatazen/ForgottenMaid-12B-Lorablated yamatazen/FusionEngine-12B-Lorablated
Merged Model	Yes
Model Size	12b
Required VRAM	23.8 GB
Updated	2026-07-16
Maintainer	yamatazen
Model Type	mistral
Model Files	1.3 GB: 1-of-25 1.3 GB: 2-of-25 1.0 GB: 3-of-25 0.9 GB: 4-of-25 0.9 GB: 5-of-25 0.9 GB: 6-of-25 1.0 GB: 7-of-25 0.9 GB: 8-of-25 0.9 GB: 9-of-25 0.9 GB: 10-of-25 1.0 GB: 11-of-25 0.9 GB: 12-of-25 0.9 GB: 13-of-25 0.9 GB: 14-of-25 1.0 GB: 15-of-25 0.9 GB: 16-of-25 0.9 GB: 17-of-25 0.9 GB: 18-of-25 1.0 GB: 19-of-25 0.9 GB: 20-of-25 0.9 GB: 21-of-25 0.9 GB: 22-of-25 1.0 GB: 23-of-25 0.9 GB: 24-of-25 0.8 GB: 25-of-25
Supported Languages	en ja
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.4
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the LorablatedStock 12B capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

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Note: green Score (e.g. "73.2") means that the model is better than yamatazen/LorablatedStock-12B.