What are the hardware requirements for Magnum V4 9B?

Magnum V4 9B requires approximately 18.6 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 9B and how large is it?

Magnum V4 9B is developed by anthracite-org, a model with 9b 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 9B?

Magnum V4 9B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Magnum V4 9B by anthracite-org — VRAM 18.6GB, 8K context

Name: Magnum V4 9B
Author: anthracite-org

Magnum V4 9B is an open-source language model by anthracite-org. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, Instruction-Based, LLM Explorer Score: 0.22.

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... Deploy:azure En Endpoints compatible Gemma2 Instruct Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/anthracite-org/magnum-v4-9b

Magnum V4 9B Parameters and Internals

LLM Name	Magnum V4 9B
Repository 🤗	https://huggingface.co/anthracite-org/magnum-v4-9b
Model Size	9b
Required VRAM	18.6 GB
Updated	2026-07-03
Maintainer	anthracite-org
Model Type	gemma2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.7 GB: 4-of-4
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 9B 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 9B

Best Alternatives	Context / RAM	Downloads	Likes
...2 9B Cpt Sahabatai V1 Instruct	8K / 18.6 GB	1369	47
Gigantes V2 Gemma2 9B It	8K / 18.6 GB	5	1
Gemma Evo 10B	8K / 20.4 GB	26	5
Gigantes V3 Gemma2 9B It	8K / 18.6 GB	6	0
Gigantes V1 Gemma2 9B It	8K / 18.6 GB	10	2
SILMA 9B Instruct V1.0	8K / 18.6 GB	2980	86
Odin 9B	8K / 18.6 GB	26	5
...B IT Simpo Infinity Preference	8K / 18.6 GB	108	19
GaMS 9B Instruct	8K / 18.6 GB	1583	2
Turkish Gemma 9B V0.1	8K / 18.6 GB	480	40

Note: green Score (e.g. "73.2") means that the model is better than anthracite-org/magnum-v4-9b.