What are the hardware requirements for Corridor D 12B?

Corridor D 12B requires approximately 24.5 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 Corridor D 12B and how large is it?

Corridor D 12B is developed by ewald1976, 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 Corridor D 12B?

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

Corridor D 12B by ewald1976 — VRAM 24.5GB, 128K context

Name: Corridor D 12B
Author: ewald1976

Corridor D 12B is an open-source language model by ewald1976. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.24.

12b Archival Atmospheric Base model:ewald1976/corridor-... Base model:finetune:ewald1976/... Contemplative Conversational Creative-writing En Finetuned Literary Mistral Mistral-nemo Narrative Observational-prose Procedural Region:us Restrained-writing Roleplay Safetensors Science-fiction Sharded Speculative-fiction Synthetic Synthetic-data Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/ewald1976/Corridor-D-12B

Corridor D 12B Parameters and Internals

LLM Name	Corridor D 12B
Repository 🤗	https://huggingface.co/ewald1976/Corridor-D-12B
Base Model(s)	Corridor C 12B ewald1976/Corridor-C-12B
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-07-29
Maintainer	ewald1976
Model Type	mistral
Model Files	5.3 GB: 1-of-5 5.3 GB: 2-of-5 5.3 GB: 3-of-5 5.3 GB: 4-of-5 3.3 GB: 5-of-5
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Corridor D 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

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Note: green Score (e.g. "73.2") means that the model is better than ewald1976/Corridor-D-12B.