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Meta Llama 3 70B Instruct Ov Int4 by fakezeta

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  Autotrain compatible   Conversational   En   Endpoints compatible   Facebook   Instruct   Llama   Llama-3   Meta   Openvino   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/fakezeta/Meta-Llama-3-70B-Instruct-ov-int4 

Meta Llama 3 70B Instruct Ov Int4 Benchmarks

LLME Score: 0.19479
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 Ov Int4 (fakezeta/Meta-Llama-3-70B-Instruct-ov-int4)

Meta Llama 3 70B Instruct Ov Int4 Parameters and Internals

Model Type 
text generation, instruction tuned
Use Cases 
Areas:
commercial, research
Applications:
assistant-like chat (instruction tuned), natural language generation tasks (pre-trained)
Primary Use Cases:
dialogue, text and code generation
Limitations:
Use violating laws or regulations not allowed, English-only pretraining testing
Considerations:
Users may fine-tune for other languages under the license.
Additional Notes 
Implemented safety and misuse mitigations; allows model fine-tuning for uses beyond initial capabilities under license conditions.
Supported Languages 
English (Full support)
Training Details 
Data Sources:
publicly available online data
Data Volume:
15T+ tokens
Methodology:
auto-regressive with optimized transformer architecture, RLHF
Context Length:
8192
Hardware Used:
Meta's Research SuperCluster, H100-80GB GPUs
Model Architecture:
Transformer
Safety Evaluation 
Methodologies:
red teaming, adversarial evaluations
Findings:
Model was extensively tested to lower residual risks
Risk Categories:
CBRNE, cybersecurity, child safety
Ethical Considerations:
misuse mitigation measures in place.
Responsible Ai Considerations 
Mitigation Strategies:
Implement safeguards like Llama Guard and Code Shield.
Input Output 
Input Format:
text input only
Accepted Modalities:
text
Output Format:
text and code
LLM NameMeta Llama 3 70B Instruct Ov Int4
Repository 🤗https://huggingface.co/fakezeta/Meta-Llama-3-70B-Instruct-ov-int4 
Model Size70b
Required VRAM44.3 GB
Updated2024-12-22
Maintainerfakezeta
Model Typellama
Instruction-BasedYes
Model Files  44.3 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256

Quantized Models of the Meta Llama 3 70B Instruct Ov Int4

Model
Likes
Downloads
VRAM
...ta Llama 3 70B Instruct Marlin637639 GB
...Llama 3 70B Instruct GPTQ Int468139 GB
...Llama 3 70B Instruct GPTQ Int822074 GB

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... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB32225
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...a 3 70B Instruct Gradient 524K512K / 141.9 GB5123
...a 3 70B Instruct Gradient 262K256K / 141.9 GB20255
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...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB150
...ama 3 70B Arimas Story RP V1.5256K / 141.2 GB302
...a 3.1 Nemotron 70B Instruct HF128K / 141.9 GB1534001927
Meta Llama 3.1 70B Instruct128K / 141.9 GB521937513
Note: green Score (e.g. "73.2") means that the model is better than fakezeta/Meta-Llama-3-70B-Instruct-ov-int4.

Rank the Meta Llama 3 70B Instruct Ov Int4 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 v20241217
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