What are the hardware requirements for Mistral Redemption Arc?

Mistral Redemption Arc requires approximately 47.3 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Redemption Arc and how large is it?

Mistral Redemption Arc is developed by Triangle104, a model with 24b 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 Mistral Redemption Arc?

Mistral Redemption Arc is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Redemption Arc by Triangle104 — VRAM 47.3GB, 32K context

Name: Mistral Redemption Arc
Author: Triangle104

Mistral Redemption Arc is an open-source language model by Triangle104. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.25.

Merged Model Arxiv:2306.01708 Autotrain compatible Base model:cognitivecomputatio... Base model:sicariussicariistuf... Base model:unsloth/mistral-sma... Endpoints compatible Mistral Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Triangle104/Mistral-Redemption-Arc

Mistral Redemption Arc Parameters and Internals

LLM Name	Mistral Redemption Arc
Repository 🤗	https://huggingface.co/Triangle104/Mistral-Redemption-Arc
Base Model(s)	cognitivecomputations/Dolphin3.0-R1-Mistral-24B Redemption Wind 24B Mistral Small 24B Base 2501 cognitivecomputations/Dolphin3.0-R1-Mistral-24B SicariusSicariiStuff/Redemption_Wind_24B unsloth/Mistral-Small-24B-Base-2501
Merged Model	Yes
Model Size	24b
Required VRAM	47.3 GB
Updated	2025-09-23
Maintainer	Triangle104
Model Type	mistral
Model Files	4.9 GB: 1-of-10 4.8 GB: 2-of-10 4.8 GB: 3-of-10 4.9 GB: 4-of-10 4.8 GB: 5-of-10 4.8 GB: 6-of-10 4.9 GB: 7-of-10 4.8 GB: 8-of-10 4.8 GB: 9-of-10 3.8 GB: 10-of-10
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	float16

Rank the Mistral Redemption Arc 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

Best Alternatives to Mistral Redemption Arc

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
Chaotic Order 24B V3	128K / 47.3 GB	247	1
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	24	0
Chaotic Harmony 24B	128K / 47.3 GB	193	0
DeepWater Pleroma 24B V1	128K / 47.3 GB	151	1
Spoomplesmaxx Thrasher 24B	128K / 46.9 GB	932	3
Chaotic Order 24B V1	128K / 47.3 GB	479	0
Priest 24B V0	128K / 47.3 GB	41	1
Chaotic Order 24B V2	128K / 47.3 GB	132	4
Morbid Miasma 24B	128K / 47.3 GB	84	17

Note: green Score (e.g. "73.2") means that the model is better than Triangle104/Mistral-Redemption-Arc.