What are the hardware requirements for Acheron M?

Acheron M requires approximately 2 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Acheron M and how large is it?

Acheron M is developed by bfuzzy1, a model with 513.6m 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 Acheron M?

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

Acheron M by bfuzzy1 — VRAM 2GB, 8K context

Name: Acheron M
Author: bfuzzy1

Acheron M is an open-source language model by bfuzzy1. Features: 513.6m LLM, VRAM: 2GB, Context: 8K, License: other, LLM Explorer Score: 0.17.

Autotrain Base model:bfuzzy1/acheron-d Base model:finetune:bfuzzy1/ac... Conversational Dataset:eth-dl-rewards/math-pr... Endpoints compatible Llama Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/bfuzzy1/acheron-m

Acheron M Parameters and Internals

LLM Name	Acheron M
Repository 🤗	https://huggingface.co/bfuzzy1/acheron-m
Base Model(s)	Acheron D bfuzzy1/acheron-d
Model Size	513.6m
Required VRAM	2 GB
Updated	2026-06-25
Maintainer	bfuzzy1
Model Type	llama
Model Files	2.0 GB 0.0 GB
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.47.1
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	32005
Torch Data Type	float32

Rank the Acheron M 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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