What are the hardware requirements for Layerskip Llama 3.2 1B Top V2?

Layerskip Llama 3.2 1B Top V2 requires approximately 2.5 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 Layerskip Llama 3.2 1B Top V2 and how large is it?

Layerskip Llama 3.2 1B Top V2 is developed by melhoushi, 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 Layerskip Llama 3.2 1B Top V2?

Layerskip Llama 3.2 1B Top V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Layerskip Llama 3.2 1B Top V2 by melhoushi — VRAM 2.5GB, 128K context

Name: Layerskip Llama 3.2 1B Top V2
Author: melhoushi

Layerskip Llama 3.2 1B Top V2 is an open-source language model by melhoushi. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, LLM Explorer Score: 0.17.

Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/melhoushi/layerskip-Llama-3.2-1B-top_v2

Layerskip Llama 3.2 1B Top V2 Parameters and Internals

LLM Name	Layerskip Llama 3.2 1B Top V2
Repository 🤗	https://huggingface.co/melhoushi/layerskip-Llama-3.2-1B-top_v2
Model Size	1b
Required VRAM	2.5 GB
Updated	2026-04-21
Maintainer	melhoushi
Model Type	llama
Model Files	2.5 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Layerskip Llama 3.2 1B Top V2 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 Layerskip Llama 3.2 1B Top V2

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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 MegaMerge Final	512K / 2.2 GB	0	1
MiniCPM5 1B	128K / 2.2 GB	354385	868
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

Note: green Score (e.g. "73.2") means that the model is better than melhoushi/layerskip-Llama-3.2-1B-top_v2.