Meta Llama 3 8B Instruct Hf By Undi95: Benchmarks, Features and Detailed Analysis. Insights on Meta Llama 3 8B Instruct Hf.

Autotrain compatible Conversational En Endpoints compatible Facebook Instruct Llama Llama-3 Meta Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Undi95/Meta-Llama-3-8B-Instruct-hf

Meta Llama 3 8B Instruct Hf Benchmarks

LLME Score: 0.22663

^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)

Meta Llama 3 8B Instruct Hf (Undi95/Meta-Llama-3-8B-Instruct-hf)

Meta Llama 3 8B Instruct Hf Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

Commercial, Research

Applications:

Assistant-like chat, Natural language generation

Limitations:

Use in languages other than English, Use violating laws or regulations, Prohibited by Acceptable Use Policy

Considerations:

Developers may fine-tune for other languages with compliance.

Training Details

Data Sources:

A new mix of publicly available online data

Data Volume:

15T+ tokens

Methodology:

Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF)

Context Length:

8000

Hardware Used:

H100-80GB GPUs

Model Architecture:

Auto-regressive Transformer

Safety Evaluation

Methodologies:

Red teaming, Adversarial Testing

Risk Categories:

Cyber Security, Child Safety

Responsible Ai Considerations

Fairness:

Developed with an emphasis on responsible AI development to limit misuse and harm.

Transparency:

Collaborates with open consortiums for safety transparency.

Mitigation Strategies:

Includes Meta Llama Guard 2 and Code Shield for safety.

Input Output

Input Format:

Text

Output Format:

Text and code

Release Notes

Version:

Date:

April 18, 2024

Notes:

Incorporates optimized transformer architecture and safety improvements.

LLM Name	Meta Llama 3 8B Instruct Hf
Repository 🤗	https://huggingface.co/Undi95/Meta-Llama-3-8B-Instruct-hf
Model Size	8b
Required VRAM	16.1 GB
Updated	2024-12-22
Maintainer	Undi95
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
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Quantized Models of the Meta Llama 3 8B Instruct Hf

Model	Likes	Downloads	VRAM
...eta Llama 3 8B Instruct Hf AWQ	8	418	5 GB

Best Alternatives to Meta Llama 3 8B Instruct Hf

Best Alternatives	Context / RAM	Downloads	Likes
...a 3 8B Instruct Gradient 1048K	1024K / 16.1 GB	4850	678
MrRoboto ProLong 8B V4b	1024K / 16.1 GB	94	0
MrRoboto ProLong 8B V4c	1024K / 16.1 GB	79	0
MrRoboto ProLong 8B V1a	1024K / 16.1 GB	107	0
MrRoboto ProLong 8B V2a	1024K / 16.1 GB	101	0
MrRoboto ProLong 8B V2f	1024K / 16.1 GB	73	0
MrRoboto ProLong 8B V4f	1024K / 16.1 GB	38	0
MrRoboto ProLong 8B V1l	1024K / 16.1 GB	67	0
MrRoboto ProLong 8B V1f	1024K / 16.1 GB	63	0
8B Unaligned BASE V2b	1024K / 16.1 GB	93	0

Note: green Score (e.g. "73.2") means that the model is better than Undi95/Meta-Llama-3-8B-Instruct-hf.

Rank the Meta Llama 3 8B Instruct Hf 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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Original data from HuggingFace, OpenCompass and various public git repos.

Release v20241217

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