What are the hardware requirements for Magnum V3 9B Customgemma2?

Magnum V3 9B Customgemma2 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 V3 9B Customgemma2 and how large is it?

Magnum V3 9B Customgemma2 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 V3 9B Customgemma2?

Magnum V3 9B Customgemma2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Magnum V3 9B Customgemma2 by anthracite-org — VRAM 18.6GB, 8K context

Name: Magnum V3 9B Customgemma2
Author: anthracite-org

Magnum V3 9B Customgemma2 is an open-source language model by anthracite-org. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, LLM Explorer Score: 0.19.

Base model:finetune:google/gem... Base model:google/gemma-2-9b Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/anthracite-org/magnum-v3-9b-customgemma2

Magnum V3 9B Customgemma2 Parameters and Internals

Model Type

text generation

Additional Notes

This model is fine-tuned to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus.

Training Details

Data Sources:

anthracite-org/stheno-filtered-v1.1, anthracite-org/kalo-opus-instruct-22k-no-refusal, anthracite-org/nopm_claude_writing_fixed, Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned, Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned

Context Length:

8192

Hardware Used:

8x H100s GPUs

Input Output

Input Format:

system system prompt user Hi there! model Nice to meet you! user Can I ask a question? model

Accepted Modalities:

text

LLM Name	Magnum V3 9B Customgemma2
Repository 🤗	https://huggingface.co/anthracite-org/magnum-v3-9b-customgemma2
Base Model(s)	Gemma 2 9B google/gemma-2-9b
Model Size	9b
Required VRAM	18.6 GB
Updated	2026-07-24
Maintainer	anthracite-org
Model Type	gemma2
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 0.0 GB
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Magnum V3 9B Customgemma2 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 V3 9B Customgemma2

Best Alternatives	Context / RAM	Downloads	Likes
G2 GSHT 32K	32K / 20.4 GB	8	1
SystemGemma2 9B It	32K / 18.6 GB	5	2
Gemma 2 9B It	8K / 18.6 GB	80757	11
GWQ 9B Preview2	8K / 18.6 GB	11	10
Gemma 2 9B It	8K / 18.6 GB	6	0
Gemma 2 9B It SimPO	8K / 18.6 GB	473	173
Gemma 2 9B It	8K / 18.6 GB	323635	837
Gemma 2 9B It Blend Rebase	8K / 20.4 GB	5	0
Gemma 2 9B	8K / 37.1 GB	95888	717
Gemma 2 9B JEE Socratic Final	8K / 18.6 GB	1118	0

Note: green Score (e.g. "73.2") means that the model is better than anthracite-org/magnum-v3-9b-customgemma2.