What are the hardware requirements for Oasst Rlhf 2 Llama 30B 7K Steps Gptq 2bit?

Oasst Rlhf 2 Llama 30B 7K Steps Gptq 2bit requires approximately 9.5 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 Oasst Rlhf 2 Llama 30B 7K Steps Gptq 2bit and how large is it?

Oasst Rlhf 2 Llama 30B 7K Steps Gptq 2bit is developed by Yhyu13, a model with 30b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Oasst Rlhf 2 Llama 30B 7K Steps Gptq 2bit perform on standard benchmarks?

Oasst Rlhf 2 Llama 30B 7K Steps Gptq 2bit has the following published scores: MMLU 57.89. Compare against reference models on this page or on the LLM Explorer leaderboards.

Oasst Rlhf 2 Llama 30B 7K Steps Gptq 2bit by Yhyu13 — VRAM 9.5GB, 2K context

Name: Oasst Rlhf 2 Llama 30B 7K Steps Gptq 2bit
Author: Yhyu13

Oasst Rlhf 2 Llama 30B 7K Steps Gptq 2bit is an open-source language model by Yhyu13. Features: 30b LLM, VRAM: 9.5GB, Context: 2K, Quantized, LLM Explorer Score: 0.1, Arc: 61.4, HellaSwag: 83.8, MMLU: 57.9, GSM8K: 31.5.

2bit Endpoints compatible Gptq Llama Pytorch Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/Yhyu13/oasst-rlhf-2-llama-30b-7k-steps-gptq-2bit

Oasst Rlhf 2 Llama 30B 7K Steps Gptq 2bit Parameters and Internals

Model Type

text generation

Additional Notes

This model version is generated for compatibility with textgen-webui using 2-bit GPTQ quantization, created using scripts from Yhyu13's Gitee repository.

LLM Name	Oasst Rlhf 2 Llama 30B 7K Steps Gptq 2bit
Repository 🤗	https://huggingface.co/Yhyu13/oasst-rlhf-2-llama-30b-7k-steps-gptq-2bit
Base Model(s)	...t Rlhf 2 Llama 30B 7K Steps Hf Yhyu13/oasst-rlhf-2-llama-30b-7k-steps-hf
Model Size	30b
Required VRAM	9.5 GB
Updated	2026-07-27
Maintainer	Yhyu13
Model Type	llama
Model Files	9.5 GB
GPTQ Quantization	Yes
Quantization Type	gptq\|2bit
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32006
Torch Data Type	float16

Rank the Oasst Rlhf 2 Llama 30B 7K Steps Gptq 2bit 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

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Note: green Score (e.g. "73.2") means that the model is better than Yhyu13/oasst-rlhf-2-llama-30b-7k-steps-gptq-2bit.