What are the hardware requirements for A1?

A1 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 A1 and how large is it?

A1 is developed by schneewolflabs, 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 A1?

A1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

A1 by schneewolflabs — VRAM 24.5GB, 128K context

Name: A1
Author: schneewolflabs

A1 is an open-source language model by schneewolflabs. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.23.

Base model:adapter:schneewolfl... Base model:schneewolflabs/a0i-... Chain-of-thought Conversational Dataset:schneewolflabs/bigdenk... Endpoints compatible Lora Mistral Reasoning Region:us Safetensors Sft Sharded Tensorflow Thinking

Model Card on HF 🤗: https://huggingface.co/schneewolflabs/A1

A1 Parameters and Internals

LLM Name	A1
Repository 🤗	https://huggingface.co/schneewolflabs/A1
Base Model(s)	schneewolflabs/A0i-12B schneewolflabs/A0i-12B
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-08
Maintainer	schneewolflabs
Model Type	mistral
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.9 GB: 5-of-5
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	5.8.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|im_end\|>
Vocabulary Size	131072
LoRA Model	Yes

Rank the A1 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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...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
MN 12B Mag Mell R1	1000K / 24.5 GB	69558	238
Riverfish Rocinante 12B SFT	1000K / 49.4 GB	166	1
Riverfish Rocinante 12B	1000K / 49.4 GB	111	1
MN 12B LucidFaun RP RU	1000K / 24.5 GB	1005	6
Qliphoth 12B V1.2	1000K / 24.5 GB	107	7
Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
Dans SakuraKaze V1.0.0 12B	1000K / 24.5 GB	7	21
Shining Gold Sakura 12B	1000K / 24.5 GB	52	2
...n Eris BMO Violent GRPO V0.420	1000K / 24.5 GB	92	3

Note: green Score (e.g. "73.2") means that the model is better than schneewolflabs/A1.