What are the hardware requirements for NeuralLLaMa 3 8B ORPO V0.3?

NeuralLLaMa 3 8B ORPO V0.3 requires approximately 16.1 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 NeuralLLaMa 3 8B ORPO V0.3 and how large is it?

NeuralLLaMa 3 8B ORPO V0.3 is developed by Kukedlc, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does NeuralLLaMa 3 8B ORPO V0.3 perform on standard benchmarks?

NeuralLLaMa 3 8B ORPO V0.3 has the following published scores: MMLU 68.39. Compare against reference models on this page or on the LLM Explorer leaderboards.

NeuralLLaMa 3 8B ORPO V0.3 by Kukedlc — VRAM 16.1GB, 8K context

Name: NeuralLLaMa 3 8B ORPO V0.3
Author: Kukedlc

NeuralLLaMa 3 8B ORPO V0.3 is an open-source language model by Kukedlc. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.21, Arc: 69.5, HellaSwag: 84.9, MMLU: 68.4, GSM8K: 72.9.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Dataset:mlabonne/orpo-dpo-mix-... Deploy:azure Endpoints compatible Instruct Llama Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3

NeuralLLaMa 3 8B ORPO V0.3 Parameters and Internals

Model Type

text generation

Input Output

Performance Tips:

Consider using lower temperatures and repetition penalties to manage model creativity and coherence.

LLM Name	NeuralLLaMa 3 8B ORPO V0.3
Repository 🤗	https://huggingface.co/Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3
Base Model(s)	meta-llama/Meta-Llama-3.1-8B-Instruct meta-llama/Meta-Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-04
Maintainer	Kukedlc
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|im_end\|>
Vocabulary Size	128258
Torch Data Type	float16

Rank the NeuralLLaMa 3 8B ORPO V0.3 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 NeuralLLaMa 3 8B ORPO V0.3

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3.