What are the hardware requirements for Llama 3.2 3B RRStock?

Llama 3.2 3B RRStock requires approximately 7.2 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 3B RRStock and how large is it?

Llama 3.2 3B RRStock is developed by bunnycore, a model with 3b 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 3B RRStock?

Llama 3.2 3B RRStock is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 3B RRStock by bunnycore — VRAM 7.2GB, 128K context

Name: Llama 3.2 3B RRStock
Author: bunnycore

Llama 3.2 3B RRStock is an open-source language model by bunnycore. Features: 3b LLM, VRAM: 7.2GB, Context: 128K, Merged, LLM Explorer Score: 0.23.

Merged Model Arxiv:2403.19522 Base model:bunnycore/llama-3.2... Base model:bunnycore/llama-3.2... Base model:bunnycore/llama-3.2... Base model:bunnycore/llama-3.2... Conversational Endpoints compatible Llama Lora Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bunnycore/Llama-3.2-3B-RRStock

Llama 3.2 3B RRStock Parameters and Internals

LLM Name	Llama 3.2 3B RRStock
Repository 🤗	https://huggingface.co/bunnycore/Llama-3.2-3B-RRStock
Base Model(s)	bunnycore/Llama-3.2-3B-RP-DeepThink bunnycore/Llama-3.2-3B-All-Mix bunnycore/Llama-3.2-3b-lora_model bunnycore/Llama-3.2-3B-RP-DeepThink bunnycore/Llama-3.2-3B-R1-lora bunnycore/Llama-3.2-3B-RP-DeepThink bunnycore/Llama-3.2-3B-All-Mix bunnycore/Llama-3.2-3b-lora_model bunnycore/Llama-3.2-3B-RP-DeepThink bunnycore/Llama-3.2-3B-R1-lora
Merged Model	Yes
Model Size	3b
Required VRAM	7.2 GB
Updated	2026-08-06
Maintainer	bunnycore
Model Type	llama
Model Files	5.0 GB: 1-of-2 2.2 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
LoRA Model	Yes
Torch Data Type	bfloat16

Rank the Llama 3.2 3B RRStock 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 3B RRStock

Best Alternatives	Context / RAM	Downloads	Likes
Nanbeige4.1 3B	256K / 7.9 GB	20875	1161
Nanbeige4.1 3B Heretic	256K / 7.9 GB	149	50
Nanbeige4.1 3B Heretic Mxfp4	256K / 7.9 GB	34	2
Nanbeige4.1 3B Bf16	256K / 7.9 GB	47	3
...anbeige4.1 3B Heretic Bfloat16	256K / 7.9 GB	33	1
Nanbeige4.1 3B Heretic	256K / 7.9 GB	18	0
Nanbeige4.1 3B Heretic	256K / 7.9 GB	14	1
ISA 03 Mini 3B Hybrid Preview	256K / 6.5 GB	4	4
ToolMind Web 3B	192K / 7.9 GB	156	28
Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368

Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Llama-3.2-3B-RRStock.