Llama 3 70B Instruct Gradient 1048K by gradientai

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  Arxiv:2305.14233   Arxiv:2309.00071   Arxiv:2310.05209   Arxiv:2402.08268   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Llama   Llama-3   Meta   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 70B Instruct Gradient 1048K Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 70B Instruct Gradient 1048K (gradientai/Llama-3-70B-Instruct-Gradient-1048k)

Llama 3 70B Instruct Gradient 1048K Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Applications:
assistant-like chat applications, natural language generation tasks
Limitations:
Use in languages other than English should be compliant with license and policy., Potential for biased or objectionable outputs.
Considerations:
Tailored safety testing recommended
Supported Languages 
English (proficient)
Training Details 
Data Sources:
SlimPajama, UltraChat
Data Volume:
34M tokens for initial stage, ~430M tokens total for all stages
Methodology:
NTK-aware interpolation, progressive training on increasing context lengths
Context Length:
1048000
Hardware Used:
NVIDIA L40S
Model Architecture:
Auto-regressive transformer
Safety Evaluation 
Methodologies:
red teaming
Risk Categories:
general misuse, cybersecurity risks
Ethical Considerations:
Recommendations for fine-tuning and safety testing provided.
Responsible Ai Considerations 
Accountability:
Developers using the model are responsible for outputs
Mitigation Strategies:
Use of safety best practices and tools like Meta Llama Guard 2
Input Output 
Input Format:
Text
Accepted Modalities:
text
Output Format:
Text
Release Notes 
Version:
April 18, 2024
Notes:
Release of Meta Llama 3 family.
LLM NameLlama 3 70B Instruct Gradient 1048K
Repository ๐Ÿค—https://huggingface.co/gradientai/Llama-3-70B-Instruct-Gradient-1048k 
Model Size70b
Required VRAM141.9 GB
Updated2024-12-14
Maintainergradientai
Model Typellama
Instruction-BasedYes
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length1048576
Model Max Length1048576
Transformers Version4.41.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Llama 3 70B Instruct Gradient 1048K

Model
Likes
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VRAM
...0B Instruct Gradient 1048K AWQ1739 GB
...B Instruct Gradient 1048K 8bit51275 GB
...B Instruct Gradient 1048K 4bit31639 GB
...B Instruct Gradient 1048K 2bit2921 GB

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Note: green Score (e.g. "73.2") means that the model is better than gradientai/Llama-3-70B-Instruct-Gradient-1048k.

Rank the Llama 3 70B Instruct Gradient 1048K 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124