What are the hardware requirements for Llama 3.2 1B SFT Capybara No Packing Llama?

Llama 3.2 1B SFT Capybara No Packing Llama 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 SFT Capybara No Packing Llama and how large is it?

Llama 3.2 1B SFT Capybara No Packing Llama is developed by lewtun, 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 SFT Capybara No Packing Llama?

Llama 3.2 1B SFT Capybara No Packing Llama 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 SFT Capybara No Packing Llama by lewtun — VRAM 3GB, 128K context

Name: Llama 3.2 1B SFT Capybara No Packing Llama
Author: lewtun

Llama 3.2 1B SFT Capybara No Packing Llama is an open-source language model by lewtun. Features: 1b LLM, VRAM: 3GB, Context: 128K, LLM Explorer Score: 0.18.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Dataset:trl-lib/capybara Endpoints compatible Generated from trainer Llama Open-r1 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/lewtun/Llama-3.2-1B-SFT-Capybara-No-Packing-Llama

Llama 3.2 1B SFT Capybara No Packing Llama Parameters and Internals

LLM Name	Llama 3.2 1B SFT Capybara No Packing Llama
Repository 🤗	https://huggingface.co/lewtun/Llama-3.2-1B-SFT-Capybara-No-Packing-Llama
Model Name	Llama-3.2-1B-SFT-Capybara-No-Packing-Llama
Base Model(s)	meta-llama/Llama-3.2-1B meta-llama/Llama-3.2-1B
Model Size	1b
Required VRAM	3 GB
Updated	2026-07-26
Maintainer	lewtun
Model Type	llama
Model Files	3.0 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.2
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 1B SFT Capybara No Packing Llama 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 SFT Capybara No Packing Llama

Best Alternatives	Context / RAM	Downloads	Likes
ISA 02 Nano Llama 3.2 1B	1024K / 2.5 GB	47	3
LWM Text 1M	1024K / 13.5 GB	1149	29
LWM Text Chat 1M	1024K / 13.5 GB	57	173
JOSIE 1M Base	1024K / 13.5 GB	12	1
JOSIE 1M Base	1024K / 13.5 GB	6	1
MiniCPM5 1B	128K / 2.2 GB	354385	868
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
LlaMa3.2 1B Instruct	128K / 4.9 GB	14	0

Note: green Score (e.g. "73.2") means that the model is better than lewtun/Llama-3.2-1B-SFT-Capybara-No-Packing-Llama.