What are the hardware requirements for Llama 2 70B LoRA Assemble V2 GPTQ?

Llama 2 70B LoRA Assemble V2 GPTQ requires approximately 35.3 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 LoRA Assemble V2 GPTQ and how large is it?

Llama 2 70B LoRA Assemble V2 GPTQ is developed by TheBloke, 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 LoRA Assemble V2 GPTQ?

Llama 2 70B LoRA Assemble V2 GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 70B LoRA Assemble V2 GPTQ by TheBloke — VRAM 35.3GB, 4K context

Name: Llama 2 70B LoRA Assemble V2 GPTQ
Author: TheBloke

Llama 2 70B LoRA Assemble V2 GPTQ is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 35.3GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.09.

4-bit Base model:oh-yeontaek/llama-2... Base model:quantized:oh-yeonta... Gptq Llama Lora Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/Llama-2-70B-LoRA-Assemble-v2-GPTQ

Llama 2 70B LoRA Assemble V2 GPTQ Benchmarks

LLME Score: 0.09182

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Llama 2 70B LoRA Assemble V2 GPTQ (TheBloke/Llama-2-70B-LoRA-Assemble-v2-GPTQ)

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Llama 2 70B LoRA Assemble V2 GPTQ Parameters and Internals

Model Type

llama

Input Output

Input Format:

{prompt}

LLM Name	Llama 2 70B LoRA Assemble V2 GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Llama-2-70B-LoRA-Assemble-v2-GPTQ
Model Name	Llama 2 70B LoRA Assemble v2
Model Creator	oh-yeontaek
Base Model(s)	Llama 2 70B LoRA Assemble V2 oh-yeontaek/llama-2-70B-LoRA-assemble-v2
Model Size	70b
Required VRAM	35.3 GB
Updated	2026-05-04
Maintainer	TheBloke
Model Type	llama
Model Files	35.3 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	llama2
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
LoRA Model	Yes
Torch Data Type	float16

Best Alternatives to Llama 2 70B LoRA Assemble V2 GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	447	6
...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	23	0
...ama 3.1 70B Instruct Gptq 4bit	128K / 39.9 GB	58	4
Opus V1.2 70B Marlin	32K / 36.4 GB	10	0
MoMo 70B Lora 1.8.6 DPO GPTQ	32K / 41.3 GB	10	1
MoMo 70B Lora 1.8.4 DPO GPTQ	32K / 41.3 GB	2	1
Midnight Miqu 70B V1.5 GPTQ32G	31K / 40.7 GB	41	4
Tess 70B V1.6 Marlin	31K / 36.3 GB	7	1
...Midnight Miqu 70B V1.0 GPTQ32G	31K / 40.7 GB	32	2
Senku 70B GPTQ 4bit	31K / 36.7 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-70B-LoRA-Assemble-v2-GPTQ.

Rank the Llama 2 70B LoRA Assemble V2 GPTQ 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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Llama 2 70B LoRA Assemble V2 GPTQ by TheBloke

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Llama 2 70B LoRA Assemble V2 GPTQ Benchmarks

Llama 2 70B LoRA Assemble V2 GPTQ Parameters and Internals

Best Alternatives to Llama 2 70B LoRA Assemble V2 GPTQ

Rank the Llama 2 70B LoRA Assemble V2 GPTQ Capabilities

What open-source LLMs or SLMs are you in search of? 53834 in total.