What are the hardware requirements for Rho 1B Sft MATH?

Rho 1B Sft MATH requires approximately 2.2 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 Rho 1B Sft MATH and how large is it?

Rho 1B Sft MATH is developed by realtreetune, a model with 1b 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 Rho 1B Sft MATH?

Rho 1B Sft MATH is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Rho 1B Sft MATH by realtreetune — VRAM 2.2GB, 2K context

Name: Rho 1B Sft MATH
Author: realtreetune

Rho 1B Sft MATH is an open-source language model by realtreetune. Features: 1b LLM, VRAM: 2.2GB, Context: 2K, LLM Explorer Score: 0.14.

Arxiv:1910.09700 Arxiv:2410.01679 Base model:finetune:microsoft/... Base model:microsoft/rho-math-... Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/realtreetune/rho-1b-sft-MATH

Rho 1B Sft MATH Parameters and Internals

LLM Name	Rho 1B Sft MATH
Repository 🤗	https://huggingface.co/realtreetune/rho-1b-sft-MATH
Base Model(s)	microsoft/rho-math-1b-v0.1 microsoft/rho-math-1b-v0.1
Model Size	1b
Required VRAM	2.2 GB
Updated	2026-07-14
Maintainer	realtreetune
Model Type	llama
Model Files	2.2 GB
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.38.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Rho 1B Sft MATH 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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JOSIE 1M Base	1024K / 13.5 GB	12	1
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Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
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Note: green Score (e.g. "73.2") means that the model is better than realtreetune/rho-1b-sft-MATH.