What are the hardware requirements for H2ogpt Research Oasst1 Llama 65B GPTQ?

H2ogpt Research Oasst1 Llama 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 H2ogpt Research Oasst1 Llama 65B GPTQ and how large is it?

H2ogpt Research Oasst1 Llama 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 H2ogpt Research Oasst1 Llama 65B GPTQ?

H2ogpt Research Oasst1 Llama 65B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

H2ogpt Research Oasst1 Llama 65B GPTQ by TheBloke — VRAM 33.5GB, 2K context

Name: H2ogpt Research Oasst1 Llama 65B GPTQ
Author: TheBloke

H2ogpt Research Oasst1 Llama 65B GPTQ is an open-source language model by TheBloke. Features: 65b LLM, VRAM: 33.5GB, Context: 2K, License: other, Quantized, LLM Explorer Score: 0.07.

4-bit Gptq Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/h2ogpt-research-oasst1-llama-65B-GPTQ

H2ogpt Research Oasst1 Llama 65B GPTQ Parameters and Internals

Model Type

Instruction-following Large Language Model

Training Details

Data Sources:

h2oai/openassistant_oasst1_h2ogpt_graded

Context Length:

2048

Model Architecture:

LlamaForCausalLM

LLM Name	H2ogpt Research Oasst1 Llama 65B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/h2ogpt-research-oasst1-llama-65B-GPTQ
Base Model(s)	...ogpt Research Oasst1 Llama 65B h2oai/h2ogpt-research-oasst1-llama-65b
Model Size	65b
Required VRAM	33.5 GB
Updated	2026-07-15
Maintainer	TheBloke
Model Type	llama
Model Files	33.5 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.30.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the H2ogpt Research Oasst1 Llama 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 H2ogpt Research Oasst1 Llama 65B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...en Instruct Human Mix 65B GPTQ	2K / 33.5 GB	11	0
Airoboros 65B Gpt4 1.4 GPTQ	2K / 33.5 GB	12	13
Airoboros 65B Gpt4 1.3 GPTQ	2K / 33.5 GB	5	3
Airoboros 65B Gpt4 1.2 GPTQ	2K / 33.5 GB	41	11
Dromedary 65B Lora GPTQ	2K / 33.5 GB	6	6
Gpt4 Alpaca Lora Mlp 65B GPTQ	2K / 33.5 GB	49	14
Guanaco 65B GPTQ	2K / 33.5 GB	481	262
Airoboros 65B GPT4 2.0 GPTQ	2K / 33.5 GB	8	3
Airoboros 65B GPT4 M2.0 GPTQ	2K / 33.5 GB	3	2
...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 TheBloke/h2ogpt-research-oasst1-llama-65B-GPTQ.