What are the hardware requirements for Magnum V3 34B?

Magnum V3 34B requires approximately 69.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Magnum V3 34B and how large is it?

Magnum V3 34B is developed by anthracite-org, a model with 34b 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 34B?

Magnum V3 34B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Magnum V3 34B by anthracite-org — VRAM 69.2GB, 32K context

Name: Magnum V3 34B
Author: anthracite-org

Magnum V3 34B is an open-source language model by anthracite-org. Features: 34b LLM, VRAM: 69.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.22.

Conversational Endpoints compatible Llama Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/anthracite-org/magnum-v3-34b

Magnum V3 34B Parameters and Internals

Model Type

text generation

Use Cases

Areas:

Research, Chat applications

Additional Notes

This is the 9th in a series of models designed to replicate the prose quality of the Claude 3 models.

Supported Languages

English (High proficiency)

Training Details

Data Sources:

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

Data Volume:

Not specified

Methodology:

Instruct tuned with ChatML formatting.

Training Time:

Number of epochs: 2

Hardware Used:

8x Nvidia H100 GPUs

Model Architecture:

AutoModelForCausalLM with transformers

Input Output

Input Format:

ChatML formatting.

Accepted Modalities:

text

Output Format:

Text generation

Performance Tips:

A minimum 'p' value of 0.2 is recommended for optimal performance.

LLM Name	Magnum V3 34B
Repository 🤗	https://huggingface.co/anthracite-org/magnum-v3-34b
Model Size	34b
Required VRAM	69.2 GB
Updated	2026-07-16
Maintainer	anthracite-org
Model Type	llama
Model Files	4.8 GB: 1-of-15 4.8 GB: 2-of-15 5.0 GB: 3-of-15 4.8 GB: 4-of-15 4.8 GB: 5-of-15 5.0 GB: 6-of-15 4.8 GB: 7-of-15 4.8 GB: 8-of-15 5.0 GB: 9-of-15 4.8 GB: 10-of-15 4.8 GB: 11-of-15 5.0 GB: 12-of-15 4.8 GB: 13-of-15 4.8 GB: 14-of-15 1.2 GB: 15-of-15
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.44.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the Magnum V3 34B 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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