What are the hardware requirements for Llama 3.2 1B OpenTree R1 0.1?

Llama 3.2 1B OpenTree R1 0.1 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 OpenTree R1 0.1 and how large is it?

Llama 3.2 1B OpenTree R1 0.1 is developed by Nexesenex, 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 OpenTree R1 0.1?

Llama 3.2 1B OpenTree R1 0.1 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 OpenTree R1 0.1 by Nexesenex — VRAM 3GB, 128K context

Name: Llama 3.2 1B OpenTree R1 0.1
Author: Nexesenex

Llama 3.2 1B OpenTree R1 0.1 is an open-source language model by Nexesenex. Features: 1b LLM, VRAM: 3GB, Context: 128K, License: llama3.2, Instruction-Based, Merged, LLM Explorer Score: 0.2.

Merged Model Arxiv:2403.19522 Base model:kingnish/reasoning-... Base model:prithivmlmods/bella... Base model:zztheaven/llama-3.2... Conversational Endpoints compatible Instruct Llama Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1

Llama 3.2 1B OpenTree R1 0.1 Parameters and Internals

LLM Name	Llama 3.2 1b OpenTree R1 0.1
Repository 🤗	https://huggingface.co/Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1
Base Model(s)	KingNish/Reasoning-Llama-1b-v0.1 zztheaven/Llama-3.2-1B-Instruct-Open-R1-GRPO Bellatrix Tiny 1B R1 KingNish/Reasoning-Llama-1b-v0.1 zztheaven/Llama-3.2-1B-Instruct-Open-R1-GRPO prithivMLmods/Bellatrix-Tiny-1B-R1
Merged Model	Yes
Model Size	1b
Required VRAM	3 GB
Updated	2026-08-08
Maintainer	Nexesenex
Model Type	llama
Instruction-Based	Yes
Model Files	3.0 GB: 1-of-1
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 1B OpenTree R1 0.1 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 Llama 3.2 1B OpenTree R1 0.1

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
LlaMa3.2 1B Instruct	128K / 4.9 GB	14	0
Llama 3.2 1B Instruct Bf16	128K / 2.5 GB	510	5
Llama 3.2 1B Instruct	128K / 2.5 GB	20	0
Llama3.2 1B Manumit V1	128K / 2.5 GB	132	0
...Claude Opus Fable5 V2 Thinking	128K / 2.2 GB	288	4
Llama 3.2 Mavrick.Spark 1B	128K / 2.5 GB	260	2
Type O1 Mini Instruct	128K / 2.5 GB	232	0

Note: green Score (e.g. "73.2") means that the model is better than Nexesenex/Llama_3.2_1b_OpenTree_R1_0.1.