What are the hardware requirements for Llama 3.2 Hammered Four?

Llama 3.2 Hammered Four requires approximately 2.8 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 Hammered Four and how large is it?

Llama 3.2 Hammered Four is developed by mergekit-community, a model with 1.4b 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 Hammered Four?

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

Llama 3.2 Hammered Four by mergekit-community — VRAM 2.8GB, 128K context

Name: Llama 3.2 Hammered Four
Author: mergekit-community

Llama 3.2 Hammered Four is an open-source language model by mergekit-community. Features: 1.4b LLM, VRAM: 2.8GB, Context: 128K, Merged, LLM Explorer Score: 0.17.

Merged Model Autotrain compatible Conversational Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mergekit-community/llama-3.2-hammered-four

Llama 3.2 Hammered Four Parameters and Internals

LLM Name	Llama 3.2 Hammered Four
Repository 🤗	https://huggingface.co/mergekit-community/llama-3.2-hammered-four
Base Model(s)	mergekit-community/llama-3.2-hammered-three mergekit-community/llama-3.2-hammered-three
Merged Model	Yes
Model Size	1.4b
Required VRAM	2.8 GB
Updated	2025-09-18
Maintainer	mergekit-community
Model Type	llama
Model Files	2.8 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 Hammered Four capabilities

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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 Hammered Four

Best Alternatives	Context / RAM	Downloads	Likes
Llama3 1.4B Init 2	4K / 3 GB	4	1
42dot V0	4K / 5.8 GB	5	0
42dot Quantized	4K / 1.7 GB	5	0
42dot Number	4K / 5.8 GB	6	0
42dot Test Upload	4K / 5.8 GB	6	0
42dot Label	4K / 5.8 GB	5	0
42dot Law	4K / 5.8 GB	5	0
MobileLLaMA 1.4B Chat	2K / 5.5 GB	434347	21
MobileLLaMA 1.4B Base	2K / 2.7 GB	127	21
ITT AF PLM 1.4B V0.1	2K / 5.8 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/llama-3.2-hammered-four.