What are the hardware requirements for Deepseek Math 7B Finetuned?

Deepseek Math 7B Finetuned requires approximately 13.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deepseek Math 7B Finetuned and how large is it?

Deepseek Math 7B Finetuned is developed by formalmathatepfl, a model with 7b 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 Deepseek Math 7B Finetuned?

Deepseek Math 7B Finetuned is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deepseek Math 7B Finetuned by formalmathatepfl — VRAM 13.9GB, 4K context

Name: Deepseek Math 7B Finetuned
Author: formalmathatepfl

Deepseek Math 7B Finetuned is an open-source language model by formalmathatepfl. Features: 7b LLM, VRAM: 13.9GB, Context: 4K, License: other, Fine-Tuned, LLM Explorer Score: 0.23.

Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Conversational Endpoints compatible Finetuned Full Generated from trainer Llama Llama-factory Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/formalmathatepfl/deepseek-math-7B-finetuned

Deepseek Math 7B Finetuned Parameters and Internals

LLM Name	Deepseek Math 7B Finetuned
Repository 🤗	https://huggingface.co/formalmathatepfl/deepseek-math-7B-finetuned
Base Model(s)	Deepseek Math 7B Base deepseek-ai/deepseek-math-7b-base
Model Size	7b
Required VRAM	13.9 GB
Updated	2026-07-18
Maintainer	formalmathatepfl
Model Type	llama
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 3.9 GB: 3-of-3 0.0 GB
Model Architecture	LlamaForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.57.3
Tokenizer Class	LlamaTokenizerFast
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	102400

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Instruction Following and Task Automation
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