What are the hardware requirements for T0 Mt 3B Base Philosophy Sdf?

T0 Mt 3B Base Philosophy Sdf requires approximately 6 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed T0 Mt 3B Base Philosophy Sdf and how large is it?

T0 Mt 3B Base Philosophy Sdf is developed by P0u4a, a model with 3b 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 T0 Mt 3B Base Philosophy Sdf?

T0 Mt 3B Base Philosophy Sdf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

T0 Mt 3B Base Philosophy Sdf by P0u4a — VRAM 6GB, 2K context

Name: T0 Mt 3B Base Philosophy Sdf
Author: P0u4a

T0 Mt 3B Base Philosophy Sdf is an open-source language model by P0u4a. Features: 3b LLM, VRAM: 6GB, Context: 2K, License: other, LLM Explorer Score: 0.29.

Arxiv:2605.02087 Alignment Base model:adapter:dlab-spp/t0... Base model:dlab-spp/t0-mt-3b-b... Conversational Dataset:p0u4a/msm-ai-assistant... Endpoints compatible Llama Lora Region:us Safetensors Sharded Synthetic-document-finetuning Tensorflow

Model Card on HF 🤗: https://huggingface.co/P0u4a/t0-mt-3b-base-philosophy-sdf

T0 Mt 3B Base Philosophy Sdf Parameters and Internals

LLM Name	T0 Mt 3B Base Philosophy Sdf
Repository 🤗	https://huggingface.co/P0u4a/t0-mt-3b-base-philosophy-sdf
Base Model(s)	T0 Mt 3B Base dlab-spp/t0-mt-3b-base
Model Size	3b
Required VRAM	6 GB
Updated	2026-09-24
Maintainer	P0u4a
Model Type	llama
Model Files	4.0 GB: 1-of-2 2.0 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.57.6
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	49280

Rank the T0 Mt 3B Base Philosophy Sdf 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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...anbeige4.1 3B Heretic Bfloat16	256K / 7.9 GB	33	1
Nanbeige4.1 3B Heretic	256K / 7.9 GB	29	0
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ISA 03 Mini 3B Hybrid Preview	256K / 6.5 GB	4	4
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Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368

Note: green Score (e.g. "73.2") means that the model is better than P0u4a/t0-mt-3b-base-philosophy-sdf.