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

Llama 2 70B Orca 200K AWQ requires approximately 36.6 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 Llama 2 70B Orca 200K AWQ and how large is it?

Llama 2 70B Orca 200K AWQ 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 AWQ?

Llama 2 70B Orca 200K AWQ 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 AWQ by TheBloke — VRAM 36.6GB, 4K context

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

Llama 2 70B Orca 200K AWQ is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 36.6GB, Context: 4K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.09.

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

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

Llama 2 70B Orca 200K AWQ Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

research, commercial applications

Considerations:

Responsible Use Guide: meta-license/Responsible-Use-Guide.pdf

Training Details

Data Sources:

OpenOrca (200k sampling)

Context Length:

4096

Input Output

Input Format:

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

Accepted Modalities:

text

Output Format:

text

LLM Name	Llama 2 70B Orca 200K AWQ
Repository 🤗	https://huggingface.co/TheBloke/Llama-2-70B-Orca-200k-AWQ
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	36.6 GB
Updated	2026-05-29
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-4 9.9 GB: 2-of-4 9.9 GB: 3-of-4 6.9 GB: 4-of-4
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
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 AWQ 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 AWQ

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...0B Instruct Gradient 1048K AWQ	1024K / 39.9 GB	5	1
...70B Instruct Gradient 262K AWQ	256K / 39.9 GB	5	0
Llama 3.3 70B Instruct AWQ	128K / 39.9 GB	262002	46
...lama 3.3 70B Instruct AWQ INT4	128K / 39.9 GB	82744	30
Llama 3.3 70B Instruct AWQ	128K / 39.9 GB	16090	12
... SauerkrautLM 70B Instruct AWQ	128K / 39.9 GB	5	5
Llama 3 70B Instruct AWQ	8K / 39.9 GB	122175	71
Meta Llama 3 70B Instruct AWQ	8K / 39.9 GB	8	1
Llama 3 70B Instruct AWQ	8K / 39.9 GB	17	1
... Llama 3 70B Instruct AWQ GEMM	8K / 39.9 GB	6	0

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