What are the hardware requirements for Magnum V4 27B?

Magnum V4 27B requires approximately 54.7 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 Magnum V4 27B and how large is it?

Magnum V4 27B is developed by anthracite-org, a model with 27b 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 Magnum V4 27B?

Magnum V4 27B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Magnum V4 27B by anthracite-org — VRAM 54.7GB, 8K context

Name: Magnum V4 27B
Author: anthracite-org

Magnum V4 27B is an open-source language model by anthracite-org. Features: 27b LLM, VRAM: 54.7GB, Context: 8K, License: gemma, Instruction-Based, LLM Explorer Score: 0.23.

Chat Conversational Dataset:anthracite-org/c2 logs... Dataset:anthracite-org/kalo-op... Dataset:anthracite-org/kalo mi... Dataset:anthracite-org/kalo op... Dataset:anthracite-org/nopm cl... Dataset:epiculous/synthrp-gens... Dataset:epiculous/synthstruct-... Dataset:lodrick-the-lafted/kal... Dataset:neweden/claude-instruc... En Endpoints compatible Gemma2 Instruct Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/anthracite-org/magnum-v4-27b

Magnum V4 27B Parameters and Internals

Model Type

text-generation

Training Details

Data Sources:

anthracite-org/c2_logs_16k_llama_v1.1, NewEden/Claude-Instruct-5K, anthracite-org/kalo-opus-instruct-22k-no-refusal, Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned, lodrick-the-lafted/kalo-opus-instruct-3k-filtered, anthracite-org/nopm_claude_writing_fixed, Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned, anthracite-org/kalo_opus_misc_240827, anthracite-org/kalo_misc_part2

Context Length:

8192

Hardware Used:

8x Nvidia H100 GPUs

LLM Name	Magnum V4 27B
Repository 🤗	https://huggingface.co/anthracite-org/magnum-v4-27b
Model Size	27b
Required VRAM	54.7 GB
Updated	2026-07-08
Maintainer	anthracite-org
Model Type	gemma2
Instruction-Based	Yes
Model Files	4.7 GB: 1-of-12 4.9 GB: 2-of-12 4.9 GB: 3-of-12 5.0 GB: 4-of-12 4.9 GB: 5-of-12 4.9 GB: 6-of-12 5.0 GB: 7-of-12 4.9 GB: 8-of-12 4.9 GB: 9-of-12 5.0 GB: 10-of-12 4.9 GB: 11-of-12 0.7 GB: 12-of-12
Supported Languages	en
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.45.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Magnum V4 27B 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 Magnum V4 27B

Best Alternatives	Context / RAM	Downloads	Likes
GaMS 27B Instruct	8K / 54.7 GB	162	1