What are the hardware requirements for LinearWriter 12B?

LinearWriter 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 LinearWriter 12B and how large is it?

LinearWriter 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 LinearWriter 12B?

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

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

Name: LinearWriter 12B
Author: yamatazen

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

Merged Model Arxiv:2203.05482 Base model:elizezen/himeyuri-v... Base model:natong19/mistral-ne... Base model:nbeerbower/mistral-... Base model:shisa-ai/shisa-v2-m... Conversational En Endpoints compatible Instruct Ja Linear Mistral Region:us Safetensors Sharded Tensorflow

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

LinearWriter 12B Parameters and Internals

LLM Name	LinearWriter 12B
Repository 🤗	https://huggingface.co/yamatazen/LinearWriter-12B
Base Model(s)	Shisa V2 Mistral Nemo 12B Mistral Nemo Gutenberg 12B V4 ...Nemo Instruct 2407 Abliterated Elizezen/Himeyuri-v0.1-12B shisa-ai/shisa-v2-mistral-nemo-12b nbeerbower/mistral-nemo-gutenberg-12B-v4 natong19/Mistral-Nemo-Instruct-2407-abliterated Elizezen/Himeyuri-v0.1-12B
Merged Model	Yes
Model Size	12b
Required VRAM	23.8 GB
Updated	2026-08-06
Maintainer	yamatazen
Model Type	mistral
Instruction-Based	Yes
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	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the LinearWriter 12B 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

Best Alternatives to LinearWriter 12B

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
Qliphoth 12B V1.1	1000K / 24.5 GB	22	3
Qliphoth 12B V1	1000K / 24.5 GB	26	2
SauerkrautLM Nemo 12B Instruct	1000K / 24.5 GB	1473	22
Magnum V4 12B	1000K / 24.5 GB	1116	54
MN Slush	1000K / 24.5 GB	181	32
ChatWaifu V1.4	1000K / 24.5 GB	335	20
...g M Claude Opus High Reasoning	1000K / 24.5 GB	107	3
ChatWaifu 12B V2.0	1000K / 24.5 GB	175	22
Mistral Nemo Bophades 12B	1000K / 24.5 GB	18	9

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