What are the hardware requirements for Llama 2 70B Chat Hf 2bit G16 S128 HQQ?

Llama 2 70B Chat Hf 2bit G16 S128 HQQ requires approximately 26.9 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 70B Chat Hf 2bit G16 S128 HQQ and how large is it?

Llama 2 70B Chat Hf 2bit G16 S128 HQQ is developed by mobiuslabsgmbh, a model with 70b 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 70B Chat Hf 2bit G16 S128 HQQ?

Llama 2 70B Chat Hf 2bit G16 S128 HQQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 70B Chat Hf 2bit G16 S128 HQQ by mobiuslabsgmbh — VRAM 26.9GB, 4K context

Name: Llama 2 70B Chat Hf 2bit G16 S128 HQQ
Author: mobiuslabsgmbh

Llama 2 70B Chat Hf 2bit G16 S128 HQQ is an open-source language model by mobiuslabsgmbh. Features: 70b LLM, VRAM: 26.9GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.1.

2bit Conversational Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/mobiuslabsgmbh/Llama-2-70b-chat-hf-2bit_g16_s128-HQQ

Llama 2 70B Chat Hf 2bit G16 S128 HQQ Parameters and Internals

Model Type

text-generation

Input Output

Accepted Modalities:

text

Output Format:

text

LLM Name	Llama 2 70B Chat Hf 2bit G16 S128 HQQ
Repository 🤗	https://huggingface.co/mobiuslabsgmbh/Llama-2-70b-chat-hf-2bit_g16_s128-HQQ
Model Size	70b
Required VRAM	26.9 GB
Updated	2026-08-02
Maintainer	mobiuslabsgmbh
Model Type	llama
Model Files	26.9 GB
Quantization Type	2bit
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llama 2 70B Chat Hf 2bit G16 S128 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

Best Alternatives to Llama 2 70B Chat Hf 2bit G16 S128 HQQ

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...B Instruct Gradient 1048K 8bit	1024K / 75 GB	41	5
...B Instruct Gradient 1048K 4bit	1024K / 39.7 GB	25	3
...B Instruct Gradient 1048K 2bit	1024K / 21.9 GB	25	2
...0B Instruct Gradient 262K 4bit	256K / 39.7 GB	25	3
...0B Instruct Gradient 262K 8bit	256K / 75 GB	26	2
...0B Instruct Gradient 262K 2bit	256K / 21.9 GB	20	1
... Gradient 262K 2.25bpw H6 EXL2	256K / 22.2 GB	8	0
...t Gradient 262K 4.0bpw H6 EXL2	256K / 37.2 GB	7	1
...t Gradient 262K 2.4bpw H6 EXL2	256K / 23.5 GB	6	0
...t Gradient 262K 3.5bpw H6 EXL2	256K / 32.9 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than mobiuslabsgmbh/Llama-2-70b-chat-hf-2bit_g16_s128-HQQ.