What are the hardware requirements for Open Instruct Human Mix 65B GPTQ?

Open Instruct Human Mix 65B GPTQ requires approximately 33.5 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Open Instruct Human Mix 65B GPTQ and how large is it?

Open Instruct Human Mix 65B GPTQ is developed by TheBloke, a model with 65b 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 Open Instruct Human Mix 65B GPTQ?

Open Instruct Human Mix 65B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Open Instruct Human Mix 65B GPTQ by TheBloke — VRAM 33.5GB, 2K context

Name: Open Instruct Human Mix 65B GPTQ
Author: TheBloke

Open Instruct Human Mix 65B GPTQ is an open-source language model by TheBloke. Features: 65b LLM, VRAM: 33.5GB, Context: 2K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

Arxiv:2301.13688 Arxiv:2302.13971 Arxiv:2304.07327 Arxiv:2306.04751 4-bit Base model:allenai/open-instru... Base model:quantized:allenai/o... Dataset:databricks/databricks-... Dataset:openassistant/oasst1 En Fp16 Gptq Instruct Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/open-instruct-human-mix-65B-GPTQ

Open Instruct Human Mix 65B GPTQ Parameters and Internals

Model Type

llama

Additional Notes

This model was part of the paper 'How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources'.

Supported Languages

languages_supported (/Languages Supported), proficiency_level (/Proficiency Level), en (High)

Training Details

Data Sources:

FLAN V2, CoT, Dolly, Open Assistant 1

Methodology:

Finetuned on a mixture of human-authored datasets

Input Output

Input Format:

<|user|> {prompt} <|assistant|>

Accepted Modalities:

text

Output Format:

Text

Performance Tips:

Ensure to format the input properly for best generation results.

LLM Name	Open Instruct Human Mix 65B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/open-instruct-human-mix-65B-GPTQ
Model Name	Open Instruct Human Mix 65B
Model Creator	Allen Institute for AI
Base Model(s)	Open Instruct Human Mix 65B allenai/open-instruct-human-mix-65b
Model Size	65b
Required VRAM	33.5 GB
Updated	2026-07-11
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	33.5 GB
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	fp16\|gptq
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.35.2
Vocabulary Size	32001
Torch Data Type	float16

Rank the Open Instruct Human Mix 65B 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 Open Instruct Human Mix 65B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...stage Llama1 65B Instruct GPTQ	2K / 34.7 GB	9	3
Lite Oute 1 65M Instruct	2K / 0.3 GB	15	12
...pen Instruct Human Mix 65B AWQ	2K / 34.7 GB	13	0
Llama 65B Instruct	2K / 130.4 GB	198	15
...pstage Llama1 65B Instruct AWQ	2K / 34.7 GB	9	1
Open Instruct Human Mix 65B	2K / 260.8 GB	173	4
Open Instruct Sharegpt 65B	2K / 260.8 GB	45	2

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/open-instruct-human-mix-65B-GPTQ.