What are the hardware requirements for Llava Hr 7B Sft 1024?

Llava Hr 7B Sft 1024 requires approximately 14.6 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llava Hr 7B Sft 1024 and how large is it?

Llava Hr 7B Sft 1024 is developed by favor123, a model with 7b 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 Llava Hr 7B Sft 1024?

Llava Hr 7B Sft 1024 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llava Hr 7B Sft 1024 by favor123 — VRAM 14.6GB, 4K context

Name: Llava Hr 7B Sft 1024
Author: favor123

Llava Hr 7B Sft 1024 is an open-source language model by favor123. Features: 7b LLM, VRAM: 14.6GB, Context: 4K, LLM Explorer Score: 0.11.

Endpoints compatible Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/favor123/llava-hr-7b-sft-1024

Llava Hr 7B Sft 1024 Parameters and Internals

LLM Name	Llava Hr 7B Sft 1024
Repository 🤗	https://huggingface.co/favor123/llava-hr-7b-sft-1024
Model Size	7b
Required VRAM	14.6 GB
Updated	2026-07-30
Maintainer	favor123
Model Type	llava
Model Files	10.0 GB: 1-of-2 4.6 GB: 2-of-2 10.0 GB: 1-of-2 4.6 GB: 2-of-2 0.0 GB
Model Architecture	LlavaLlamaForCausalLM
Context Length	4096
Model Max Length	4096
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	bfloat16

Rank the Llava Hr 7B Sft 1024 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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Llava V1.6 Vicuna 7B	4K / 14.1 GB	19939	144
...va 1.5 Image Classification V3	4K / 23.3 GB	224	0
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Som Llava V1.5 7B	4K / 14.1 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than favor123/llava-hr-7b-sft-1024.