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

Open Instruct Human Mix 65B requires approximately 260.8 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 and how large is it?

Open Instruct Human Mix 65B is developed by allenai, 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?

Open Instruct Human Mix 65B 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 by allenai — VRAM 260.8GB, 2K context

Name: Open Instruct Human Mix 65B
Author: allenai

Open Instruct Human Mix 65B is an open-source language model by allenai. Features: 65b LLM, VRAM: 260.8GB, Context: 2K, Instruction-Based, LLM Explorer Score: 0.07.

Arxiv:2301.13688 Arxiv:2302.13971 Arxiv:2304.07327 Arxiv:2306.04751 Dataset:databricks/databricks-... Dataset:openassistant/oasst1 En Endpoints compatible Instruct Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/allenai/open-instruct-human-mix-65b

Open Instruct Human Mix 65B Parameters and Internals

Model Type

instruction-tuned

Additional Notes

To use the model, requires conversion of LLaMa model to HF format and use of weight_diff script.

Training Details

Data Sources:

databricks/databricks-dolly-15k, OpenAssistant/oasst1

Input Output

Input Format:

<|user|> Your message here! <|assistant|>

Performance Tips:

Include a newline after '<|assistant|>' for improved generation quality.

LLM Name	Open Instruct Human Mix 65B
Repository 🤗	https://huggingface.co/allenai/open-instruct-human-mix-65b
Model Size	65b
Required VRAM	260.8 GB
Updated	2026-07-31
Maintainer	allenai
Model Type	llama
Instruction-Based	Yes
Model Files	9.3 GB: 1-of-27 9.7 GB: 2-of-27 9.7 GB: 3-of-27 9.7 GB: 4-of-27 9.7 GB: 5-of-27 9.7 GB: 6-of-27 9.7 GB: 7-of-27 9.7 GB: 8-of-27 9.7 GB: 9-of-27 9.7 GB: 10-of-27 9.7 GB: 11-of-27 9.7 GB: 12-of-27 9.7 GB: 13-of-27 9.7 GB: 14-of-27 9.7 GB: 15-of-27 9.7 GB: 16-of-27 9.7 GB: 17-of-27 9.7 GB: 18-of-27 9.7 GB: 19-of-27 9.7 GB: 20-of-27 9.7 GB: 21-of-27 9.7 GB: 22-of-27 9.7 GB: 23-of-27 9.7 GB: 24-of-27 9.7 GB: 25-of-27 9.7 GB: 26-of-27 9.0 GB: 27-of-27
Supported Languages	en
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.29.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32001
Torch Data Type	float32

Rank the Open Instruct Human Mix 65B 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

Quantized Models of the Open Instruct Human Mix 65B

Model	Likes	Downloads	VRAM
...en Instruct Human Mix 65B GGUF	1	287	27 GB
...pen Instruct Human Mix 65B AWQ	0	13	34 GB
...en Instruct Human Mix 65B GPTQ	0	11	33 GB

Best Alternatives to Open Instruct Human Mix 65B

Best Alternatives	Context / RAM	Downloads	Likes
Lite Oute 1 65M Instruct	2K / 0.3 GB	15	12
Llama 65B Instruct	2K / 130.4 GB	198	15
Open Instruct Sharegpt 65B	2K / 260.8 GB	45	2
...pen Instruct Human Mix 65B AWQ	2K / 34.7 GB	13	0
...en Instruct Human Mix 65B GPTQ	2K / 33.5 GB	11	0
...pstage Llama1 65B Instruct AWQ	2K / 34.7 GB	9	1
...stage Llama1 65B Instruct GPTQ	2K / 34.7 GB	9	3

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