What are the hardware requirements for Llama 3.2 1B Orca Math Sft?

Llama 3.2 1B Orca Math Sft requires approximately 3 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.2 1B Orca Math Sft and how large is it?

Llama 3.2 1B Orca Math Sft is developed by jasonrb, 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 Llama 3.2 1B Orca Math Sft?

Llama 3.2 1B Orca Math Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 1B Orca Math Sft by jasonrb — VRAM 3GB, 128K context

Name: Llama 3.2 1B Orca Math Sft
Author: jasonrb

Llama 3.2 1B Orca Math Sft is an open-source language model by jasonrb. Features: 1b LLM, VRAM: 3GB, Context: 128K, LLM Explorer Score: 0.17.

Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Endpoints compatible Generated from trainer Llama Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/jasonrb/llama-3.2-1B_orca_math_sft

Llama 3.2 1B Orca Math Sft Parameters and Internals

LLM Name	Llama 3.2 1B Orca Math Sft
Repository 🤗	https://huggingface.co/jasonrb/llama-3.2-1B_orca_math_sft
Model Name	llama-3.2-1B_orca_math_sft
Base Model(s)	meta-llama/Llama-3.2-1B meta-llama/Llama-3.2-1B
Model Size	1b
Required VRAM	3 GB
Updated	2025-09-23
Maintainer	jasonrb
Model Type	llama
Model Files	3.0 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 1B Orca Math Sft capabilities

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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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Note: green Score (e.g. "73.2") means that the model is better than jasonrb/llama-3.2-1B_orca_math_sft.