What are the hardware requirements for LLaMA 3 8B SFR Iterative DPO Concise R?

LLaMA 3 8B SFR Iterative DPO Concise R requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LLaMA 3 8B SFR Iterative DPO Concise R and how large is it?

LLaMA 3 8B SFR Iterative DPO Concise 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 3 8B SFR Iterative DPO Concise R?

LLaMA 3 8B SFR Iterative DPO Concise R is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LLaMA 3 8B SFR Iterative DPO Concise R by Salesforce — VRAM 16.1GB, 8K context

Name: LLaMA 3 8B SFR Iterative DPO Concise R
Author: Salesforce

LLaMA 3 8B SFR Iterative DPO Concise R is an open-source language model by Salesforce. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, LLM Explorer Score: 0.13.

Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-Concise-R

LLaMA 3 8B SFR Iterative DPO Concise R Parameters and Internals

Model Type

text generation

Additional Notes

In this model, a concise penalty is applied during training.

LLM Name	LLaMA 3 8B SFR Iterative DPO Concise R
Repository 🤗	https://huggingface.co/Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-Concise-R
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-19
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
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the LLaMA 3 8B SFR Iterative DPO Concise R 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

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...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
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...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-Concise-R.