What are the hardware requirements for Llama 3.2 3B Bespoke Thought?

Llama 3.2 3B Bespoke Thought requires approximately 6.4 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 Bespoke Thought and how large is it?

Llama 3.2 3B Bespoke Thought 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 Bespoke Thought?

Llama 3.2 3B Bespoke Thought 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 Bespoke Thought by bunnycore — VRAM 6.4GB, 128K context

Name: Llama 3.2 3B Bespoke Thought
Author: bunnycore

Llama 3.2 3B Bespoke Thought is an open-source language model by bunnycore. Features: 3b LLM, VRAM: 6.4GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.21.

Merged Model Base model:bunnycore/llama-3.2... Base model:unsloth/llama-3.2-3... Conversational Endpoints compatible Instruct Llama Lora Model-index Region:us Safetensors Sharded Tensorflow

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

Llama 3.2 3B Bespoke Thought Parameters and Internals

LLM Name	Llama 3.2 3B Bespoke Thought
Repository 🤗	https://huggingface.co/bunnycore/Llama-3.2-3B-Bespoke-Thought
Base Model(s)	unsloth/Llama-3.2-3B-Instruct bunnycore/Llama-3.2-3B-R1-lora unsloth/Llama-3.2-3B-Instruct bunnycore/Llama-3.2-3B-R1-lora
Merged Model	Yes
Model Size	3b
Required VRAM	6.4 GB
Updated	2026-08-01
Maintainer	bunnycore
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.4 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
LoRA Model	Yes
Torch Data Type	bfloat16

Rank the Llama 3.2 3B Bespoke Thought 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 Bespoke Thought

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
Llama 3.2 3B Instruct	128K / 6.5 GB	186207	96
Llama3.2 3B Manumit V1	128K / 6.4 GB	135	0
Llama 3.2 3B Instruct	128K / 6.5 GB	991	9
... V7 SFT 10voicebot Loopcleaned	128K / 6.5 GB	229	0
Llama 3.2 3B RP Toxic Fuse	128K / 6.4 GB	14	2
DeepSeek R1 Distill Llama 3B	128K / 6.5 GB	247	16
Schematron 3B	128K / 6.5 GB	969	336
ReasoningCore 3B T1 1	128K / 6.5 GB	8	1
... 3.2 3B Math Instruct RE1 ORPO	128K / 6.5 GB	48	0

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