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

Oasst Rlhf 2 Llama 30B 7K Steps Hf requires approximately 65.2 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 Hf and how large is it?

Oasst Rlhf 2 Llama 30B 7K Steps Hf 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 Hf perform on standard benchmarks?

Oasst Rlhf 2 Llama 30B 7K Steps Hf 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 Hf by Yhyu13 — VRAM 65.2GB, 2K context

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

Oasst Rlhf 2 Llama 30B 7K Steps Hf is an open-source language model by Yhyu13. Features: 30b LLM, VRAM: 65.2GB, Context: 2K, License: other, LLM Explorer Score: 0.09, Arc: 61.4, HellaSwag: 83.8, MMLU: 57.9, GSM8K: 31.5.

Endpoints compatible Llama Pytorch Region:us Sharded

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

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

Additional Notes

This is the merged hf tr version of llama 30B and OA's rlhf 30B xor weights.

LLM Name	Oasst Rlhf 2 Llama 30B 7K Steps Hf
Repository 🤗	https://huggingface.co/Yhyu13/oasst-rlhf-2-llama-30b-7k-steps-hf
Model Size	30b
Required VRAM	65.2 GB
Updated	2026-07-31
Maintainer	Yhyu13
Model Type	llama
Model Files	9.8 GB: 1-of-7 10.0 GB: 2-of-7 9.9 GB: 3-of-7 9.9 GB: 4-of-7 9.9 GB: 5-of-7 10.0 GB: 6-of-7 5.7 GB: 7-of-7
Model Architecture	LlamaForCausalLM
License	other
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 Hf 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 Oasst Rlhf 2 Llama 30B 7K Steps Hf

Model	Likes	Downloads	VRAM
...2 Llama 30B 7K Steps Gptq 2bit	2	9	9 GB
...2 Llama 30B 7K Steps Gptq 4bit	3	5	17 GB

Best Alternatives to Oasst Rlhf 2 Llama 30B 7K Steps Hf

Best Alternatives	Context / RAM	Downloads	Likes
TildeOpen 30B	64K / 60.9 GB	4576	165
TildeOpen 30B 64K	64K / 60.9 GB	702	3
Tildeopen 30B Mu Instruct	64K / 60.9 GB	41	6
Flash Llama 30M 20001	32K / 0.1 GB	134	0
Smaug Slerp 30B V0.1	32K / 60.4 GB	79	0
Tenebra 30B Alpha01	16K / 65 GB	50	16
Llama33b 16K	16K / 65.2 GB	1	1
Veyra2 Mango 30M Base	4K / 0.1 GB	0	5
Yayi2 30B Llama	4K / 121.2 GB	922	22
... Tokens By Perplexity Bottom K	4K / 5.4 GB	8	0

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