What are the hardware requirements for OrpoLlama 3 8B AWQ?

OrpoLlama 3 8B AWQ requires approximately 5.8 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OrpoLlama 3 8B AWQ and how large is it?

OrpoLlama 3 8B AWQ is developed by solidrust, a model with 8b 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 OrpoLlama 3 8B AWQ?

OrpoLlama 3 8B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OrpoLlama 3 8B AWQ by solidrust — VRAM 5.8GB, 8K context

Name: OrpoLlama 3 8B AWQ
Author: solidrust

OrpoLlama 3 8B AWQ is an open-source language model by solidrust. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, License: other, Quantized, LLM Explorer Score: 0.12.

4-bit Autotrain compatible Awq Base model:mlabonne/orpollama-... Base model:quantized:mlabonne/... Conversational Dataset:mlabonne/orpo-dpo-mix-... En Endpoints compatible Llama Llama 3 Orpo Quantized Region:us Rlhf Safetensors Sft Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/solidrust/OrpoLlama-3-8B-AWQ

OrpoLlama 3 8B AWQ Parameters and Internals

Model Type

text-generation

Additional Notes

Followed the ChatML template for tuning.

Supported Languages

en (proficient)

Training Details

Data Sources:

mlabonne/orpo-dpo-mix-40k

Data Volume:

1k samples

Methodology:

Uses ChatML template for fine-tuning

Context Length:

8000

Model Architecture:

ORPO fine-tune of meta-llama/Meta-Llama-3-8B

LLM Name	OrpoLlama 3 8B AWQ
Repository 🤗	https://huggingface.co/solidrust/OrpoLlama-3-8B-AWQ
Base Model(s)	OrpoLlama 3 8B mlabonne/OrpoLlama-3-8B
Model Size	8b
Required VRAM	5.8 GB
Updated	2026-08-08
Maintainer	solidrust
Model Type	llama
Model Files	4.7 GB: 1-of-2 1.1 GB: 2-of-2
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|im_end\|>
Vocabulary Size	128258
Torch Data Type	float16

Rank the OrpoLlama 3 8B AWQ 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 solidrust/OrpoLlama-3-8B-AWQ.