What are the hardware requirements for Llama 2 7B Hf 4bit G64 HQQ?

Llama 2 7B Hf 4bit G64 HQQ requires approximately 4.1 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 Llama 2 7B Hf 4bit G64 HQQ and how large is it?

Llama 2 7B Hf 4bit G64 HQQ is developed by mobiuslabsgmbh, 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 Llama 2 7B Hf 4bit G64 HQQ?

Llama 2 7B Hf 4bit G64 HQQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 7B Hf 4bit G64 HQQ by mobiuslabsgmbh — VRAM 4.1GB, 4K context

Name: Llama 2 7B Hf 4bit G64 HQQ
Author: mobiuslabsgmbh

Llama 2 7B Hf 4bit G64 HQQ is an open-source language model by mobiuslabsgmbh. Features: 7b LLM, VRAM: 4.1GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.1.

4bit Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/mobiuslabsgmbh/Llama-2-7b-hf-4bit_g64-HQQ

Llama 2 7B Hf 4bit G64 HQQ Parameters and Internals

Model Type

text generation

Use Cases

Limitations:

Only supports single GPU runtime, Not compatible with HuggingFace's PEFT

Input Output

Accepted Modalities:

text

LLM Name	Llama 2 7B Hf 4bit G64 HQQ
Repository 🤗	https://huggingface.co/mobiuslabsgmbh/Llama-2-7b-hf-4bit_g64-HQQ
Model Size	7b
Required VRAM	4.1 GB
Updated	2026-08-03
Maintainer	mobiuslabsgmbh
Model Type	llama
Model Files	4.1 GB
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.1
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llama 2 7B Hf 4bit G64 HQQ 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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Smaugv0.1 6.0bpw H6 EXL2	195K / 26.4 GB	1	4
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Smaugv0.1 4.0bpw H6 EXL2	195K / 18 GB	4	1
Smaugv0.1 8.0bpw H8 EXL2	195K / 34.9 GB	4	1
Smaugv0.1 3.0bpw H6 EXL2	195K / 13.9 GB	0	1
DeepSeek Prover V2 7B 4bit	64K / 3.9 GB	236	4
Mistral 7B Openplatypus 1K	32K / 29 GB	1814	0
Mistral 7B OpenOrca 1K	32K / 29 GB	1811	3
...rnlm2 20B Llama 4.0bpw H6 EXL2	32K / 11 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than mobiuslabsgmbh/Llama-2-7b-hf-4bit_g64-HQQ.