What are the hardware requirements for Llama XLAM 2 8B Fc R?

Llama XLAM 2 8B Fc R requires approximately 16.1 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 XLAM 2 8B Fc R and how large is it?

Llama XLAM 2 8B Fc R is developed by Salesforce, a model with 8b 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 XLAM 2 8B Fc R?

Llama XLAM 2 8B Fc R is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama XLAM 2 8B Fc R by Salesforce — VRAM 16.1GB, 128K context

Name: Llama XLAM 2 8B Fc R
Author: Salesforce

Llama XLAM 2 8B Fc R is an open-source language model by Salesforce. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: cc-by-nc-4.0, LLM Explorer Score: 0.23.

Arxiv:2402.15506 Arxiv:2409.03215 Arxiv:2503.22673 Arxiv:2504.03601 Conversational Dataset:salesforce/apigen-mt-5... Dataset:salesforce/xlam-functi... Deploy:azure En Endpoints compatible Function-calling Llama Llama-factory Llm agent Pytorch Qwen Region:us Safetensors Sharded Tensorflow Tool-use

Model Card on HF 🤗: https://huggingface.co/Salesforce/Llama-xLAM-2-8b-fc-r

Llama XLAM 2 8B Fc R Parameters and Internals

LLM Name	Llama XLAM 2 8B Fc R
Repository 🤗	https://huggingface.co/Salesforce/Llama-xLAM-2-8b-fc-r
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-08
Maintainer	Salesforce
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

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