What are the hardware requirements for Llama 2 70B Orca 200K GPTQ?

Llama 2 70B Orca 200K GPTQ requires approximately 36.7 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 Orca 200K GPTQ and how large is it?

Llama 2 70B Orca 200K 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 Orca 200K GPTQ?

Llama 2 70B Orca 200K 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 Orca 200K GPTQ by TheBloke — VRAM 36.7GB, 4K context

Name: Llama 2 70B Orca 200K GPTQ
Author: TheBloke

Llama 2 70B Orca 200K GPTQ is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 36.7GB, Context: 4K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.08.

4-bit Base model:ddobokki/llama-2-70... Base model:quantized:ddobokki/... En Gptq Instruct Instruction Llama Llama2 Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/Llama-2-70B-Orca-200k-GPTQ

Llama 2 70B Orca 200K GPTQ Parameters and Internals

Model Type

llama

Input Output

Input Format:

### Human: {prompt} ### Assistant:

LLM Name	Llama 2 70B Orca 200K GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Llama-2-70B-Orca-200k-GPTQ
Model Name	Llama 2 70B Orca 200k
Model Creator	ddobokki
Base Model(s)	Llama 2 70B Orca 200K ddobokki/Llama-2-70b-orca-200k
Model Size	70b
Required VRAM	36.7 GB
Updated	2026-07-02
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	36.7 GB
Supported Languages	en
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
Torch Data Type	float16

Rank the Llama 2 70B Orca 200K GPTQ 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 Orca 200K GPTQ

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...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	517	6
...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	129	0
...ama 3.1 70B Instruct Gptq 4bit	128K / 39.9 GB	7	4
...ta Llama 3 70B Instruct Marlin	8K / 39.5 GB	141	6
...ama 3 Taiwan 70B Instruct GPTQ	8K / 39.8 GB	6	2
Meta Llama 3 70B Instruct GPTQ	8K / 39.8 GB	905	16
Meta Llama 3 70B Instruct GPTQ	8K / 39.8 GB	763	19
...g Llama 3 70B Instruct GPTQ 4B	8K / 39.8 GB	6	0
...g Llama 3 70B Instruct GPTQ 8B	8K / 74.4 GB	3	1
...a Llama 3 70B Instruct GPTQ 8B	8K / 74.4 GB	17	0

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-70B-Orca-200k-GPTQ.