What are the hardware requirements for M3 Sft It DPO?

M3 Sft It DPO requires approximately 10 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 M3 Sft It DPO and how large is it?

M3 Sft It DPO is developed by antoniomari, a model with 2.5b 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 M3 Sft It DPO?

M3 Sft It DPO is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

M3 Sft It DPO by antoniomari — VRAM 10GB, 8K context

Name: M3 Sft It DPO
Author: antoniomari

M3 Sft It DPO is an open-source language model by antoniomari. Features: 2.5b LLM, VRAM: 10GB, Context: 8K, LLM Explorer Score: 0.13.

Arxiv:1910.09700 Conversational Endpoints compatible Gemma Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/antoniomari/m3_sft_it_dpo

M3 Sft It DPO Parameters and Internals

LLM Name	M3 Sft It DPO
Repository 🤗	https://huggingface.co/antoniomari/m3_sft_it_dpo
Model Size	2.5b
Required VRAM	10 GB
Updated	2026-08-03
Maintainer	antoniomari
Model Type	gemma
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 0.1 GB: 3-of-3
Model Architecture	GemmaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float32

Rank the M3 Sft It DPO 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 M3 Sft It DPO

Best Alternatives	Context / RAM	Downloads
Sherlock Gemma Finetuned	8K / 2.2 GB	6
Geko3	8K / 5.1 GB	7
Gemma Ko V01	8K / 5.1 GB	11
M3 Sft Orca It Base	8K / 10 GB	11
M3 Sft Orca It Base	8K / 10 GB	5
Orca Gemma It DPO	8K / 10 GB	5
Gemma EPFL	8K / 10 GB	5
M3 Sft Gemma It	8K / 10 GB	9
M3 Sft Gemma	8K / 10 GB	7
Orca Gemma It DPO	8K / 10 GB	7

Note: green Score (e.g. "73.2") means that the model is better than antoniomari/m3_sft_it_dpo.