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Meta Llama 3 70B Instruct Marlin by mgoin

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Meta Llama 3 70B Instruct Marlin Benchmarks

LLME Score: 0.21
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Meta Llama 3 70B Instruct Marlin Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Commercial, Research
Applications:
Assistant-like chat, Natural language generation tasks
Primary Use Cases:
Dialogue, General text generation
Limitations:
Use is recommended only in English, Users must comply with license agreements and acceptable use policies.
Considerations:
Developers should fine-tune models for specific languages and applications if needed.
Supported Languages 
language (English), proficiency (High)
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:
Meta's Research SuperCluster, third-party cloud compute
Model Architecture:
Llama 3 is an auto-regressive language model with an optimized transformer architecture.
Safety Evaluation 
Methodologies:
Red teaming exercises, adversarial evaluations
Risk Categories:
CBRNE risks, cybersecurity risks, child safety risks
Ethical Considerations:
Safety evaluation included an assessment of the model's capability to handle sensitive topics responsibly.
Responsible Ai Considerations 
Fairness:
Considerations related to fairness and bias addressed.
Transparency:
Open approach and documentation on safety standards.
Accountability:
Meta is responsible for addressing misuse that arises from the model's capabilities.
Mitigation Strategies:
Safety tools such as Meta Llama Guard 2 and Code Shield are available to mitigate risks.
Input Output 
Input Format:
Text input only
Accepted Modalities:
text
Output Format:
Text and code generation
Release Notes 
Version:
1.0
Date:
April 18, 2024
Notes:
Initial release of Llama 3 family models.
LLM NameMeta Llama 3 70B Instruct Marlin
Repository 🤗https://huggingface.co/mgoin/Meta-Llama-3-70B-Instruct-Marlin 
Base Model(s)  ...a Llama 3 70B Instruct Ov Int4   fakezeta/Meta-Llama-3-70B-Instruct-ov-int4
Model Size70b
Required VRAM39.5 GB
Updated2024-11-21
Maintainermgoin
Model Typellama
Instruction-BasedYes
Model Files  39.5 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16
Meta Llama 3 70B Instruct Marlin (mgoin/Meta-Llama-3-70B-Instruct-Marlin)

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Note: green Score (e.g. "73.2") means that the model is better than mgoin/Meta-Llama-3-70B-Instruct-Marlin.

Rank the Meta Llama 3 70B Instruct Marlin Capabilities

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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 v20241110
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