Llama 3 NeuralHercules 5.0 8B By Locutusque: Benchmarks, Features and Detailed Analysis. Insights on Llama 3 NeuralHercules 5.0 8B.

Autotrain compatible Chemistry Code Conversational En Endpoints compatible Llama Medical Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Locutusque/Llama-3-NeuralHercules-5.0-8B

Llama 3 NeuralHercules 5.0 8B Benchmarks

MMLU Pro: 21.48

GPQA: 2.46

MUSR: 6.78

BBH: 16.34

IFEval: 44.89 vs 88 (so35)^-49%

MATH Lvl 5: 4.31

LLME Score: 0.22406

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Llama 3 NeuralHercules 5.0 8B (Locutusque/Llama-3-NeuralHercules-5.0-8B)

Llama 3 NeuralHercules 5.0 8B Parameters and Internals

Model Type

Question answering, conversational AI, code generation, medical text comprehension, mathematical reasoning, logical reasoning

Use Cases

Areas:

scientific domains

Applications:

AI-driven tutoring systems, Assistive tools for fast and accurate information retrieval, Conversational AI platforms, Automation in code generation

Primary Use Cases:

complex question answering, conversational understanding, code generation, medical text comprehension, mathematical reasoning, logical reasoning

Limitations:

Inconsistencies in responses due to dataset diversity

Additional Notes

The diversity of the dataset could lead to inconsistencies in the model's responses due to variations in data formatting and annotation quality.

Supported Languages

en (high)

Training Details

Data Sources:

hercules-v5.0 dataset, mlabonne/orpo-dpo-mix-40k dataset

Methodology:

Fine-tuned on selected datasets for advanced reasoning.

LLM Name	Llama 3 NeuralHercules 5.0 8B
Repository 🤗	https://huggingface.co/Locutusque/Llama-3-NeuralHercules-5.0-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2025-04-19
Maintainer	Locutusque
Model Type	llama
Model Files	2.0 GB: 1-of-9 1.9 GB: 2-of-9 2.0 GB: 3-of-9 1.9 GB: 4-of-9 2.0 GB: 5-of-9 1.9 GB: 6-of-9 2.0 GB: 7-of-9 1.3 GB: 8-of-9 1.1 GB: 9-of-9
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Quantized Models of the Llama 3 NeuralHercules 5.0 8B

Model	Likes	Downloads	VRAM
...ma 3 NeuralHercules 5.0 8B AWQ	0	5	5 GB

Best Alternatives to Llama 3 NeuralHercules 5.0 8B

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	638	71
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	1156	14
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	1718	36
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...a 3 8B Instruct Gradient 1048K	1024K / 16.1 GB	25079	679
A1	1024K / 16.1 GB	853	0
101	1024K / 16.1 GB	712	0
MrRoboto ProLong 8B V4i	1024K / 16.1 GB	66	1

Note: green Score (e.g. "73.2") means that the model is better than Locutusque/Llama-3-NeuralHercules-5.0-8B.

Rank the Llama 3 NeuralHercules 5.0 8B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20241227

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