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: 0.19.

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 Benchmarks

LLME Score: 0.18668

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Llama 3.2 1B SFT Capybara No Packing Llama (lewtun/Llama-3.2-1B-SFT-Capybara-No-Packing-Llama)

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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	2026-05-12
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

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	2107	4
LWM Text Chat 1M	1024K / 13.5 GB	737	174
LWM Text 1M	1024K / 13.5 GB	965	29
JOSIE 1M Base	1024K / 13.5 GB	12	1
JOSIE 1M Base	1024K / 13.5 GB	6	1
Llama 3.2 1B Instruct	128K / 2.5 GB	6336819	1393
Llama 3.2 1B	128K / 2.5 GB	3306012	2082
...2 1B Instruct Only Mask W Item	128K / 3 GB	1425	0
...Instruct Only Mask W Item Mesh	128K / 3 GB	383	0
MaidEllaA 1B	128K / 2.5 GB	786	1

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

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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Llama 3.2 1B SFT Capybara No Packing Llama by lewtun

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Llama 3.2 1B SFT Capybara No Packing Llama Benchmarks

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

Best Alternatives to Llama 3.2 1B SFT Capybara No Packing Llama

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

What open-source LLMs or SLMs are you in search of? 53640 in total.