What are the hardware requirements for Llama 2B Hf 32768 Fpf?

Llama 2B Hf 32768 Fpf requires approximately 3.8 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 2B Hf 32768 Fpf and how large is it?

Llama 2B Hf 32768 Fpf is developed by mesolitica, a model with 2b 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 2B Hf 32768 Fpf?

Llama 2B Hf 32768 Fpf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2B Hf 32768 Fpf by mesolitica — VRAM 3.8GB, 32K context

Name: Llama 2B Hf 32768 Fpf
Author: mesolitica

Llama 2B Hf 32768 Fpf is an open-source language model by mesolitica. Features: 2b LLM, VRAM: 3.8GB, Context: 32K, LLM Explorer Score: 0.09.

Endpoints compatible Llama Ms Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mesolitica/llama-2b-hf-32768-fpf

Llama 2B Hf 32768 Fpf Parameters and Internals

Model Type

Text Generation

Supported Languages

Malaysian (Proficient)

Training Details

Methodology:

Derived from first 5 layers

Context Length:

32768

LLM Name	Llama 2B Hf 32768 Fpf
Repository 🤗	https://huggingface.co/mesolitica/llama-2b-hf-32768-fpf
Model Size	2b
Required VRAM	3.8 GB
Updated	2026-07-22
Maintainer	mesolitica
Model Type	llama
Model Files	3.8 GB
Supported Languages	ms
Model Architecture	LlamaForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llama 2B Hf 32768 Fpf 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

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Note: green Score (e.g. "73.2") means that the model is better than mesolitica/llama-2b-hf-32768-fpf.