What are the hardware requirements for AceMath 1.5B Instruct 1epoch?

AceMath 1.5B Instruct 1epoch requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed AceMath 1.5B Instruct 1epoch and how large is it?

AceMath 1.5B Instruct 1epoch is developed by NikolaSigmoid, a model with 1.5b 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 AceMath 1.5B Instruct 1epoch?

AceMath 1.5B Instruct 1epoch is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AceMath 1.5B Instruct 1epoch by NikolaSigmoid — VRAM 0.1GB

Name: AceMath 1.5B Instruct 1epoch
Author: NikolaSigmoid

AceMath 1.5B Instruct 1epoch is an open-source language model by NikolaSigmoid. Features: 1.5b LLM, VRAM: 0.1GB, Instruction-Based, LLM Explorer Score: 0.22.

Arxiv:1910.09700 Conversational Endpoints compatible Grpo Instruct Lora Pytorch Qwen2 Region:us Safetensors Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/NikolaSigmoid/AceMath-1.5B-Instruct-1epoch

AceMath 1.5B Instruct 1epoch Parameters and Internals

LLM Name	AceMath 1.5B Instruct 1epoch
Repository 🤗	https://huggingface.co/NikolaSigmoid/AceMath-1.5B-Instruct-1epoch
Model Size	1.5b
Required VRAM	0.1 GB
Updated	2026-07-31
Maintainer	NikolaSigmoid
Instruction-Based	Yes
Model Files	0.1 GB 3.1 GB
Model Architecture	AutoModelForCausalLM
Model Max Length	4096
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|up_proj\|gate_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16
Errors	replace

Rank the AceMath 1.5B Instruct 1epoch 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 AceMath 1.5B Instruct 1epoch

Best Alternatives	Context / RAM	Downloads
Acemath 200	0K / 0.1 GB	12
Qwen First Aid Medium	0K / 1.9 GB	0
MeoinGTS1.5 1.5B	0K / 1 GB	147

Note: green Score (e.g. "73.2") means that the model is better than NikolaSigmoid/AceMath-1.5B-Instruct-1epoch.