Z7b Beta Data V3 by jofaichow

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  Autotrain compatible   Conversational   En   Gpt   H2o-llmstudio   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Z7b Beta Data V3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Z7b Beta Data V3 (jofaichow/z7b-beta-data-v3)

Z7b Beta Data V3 Parameters and Internals

Model Type 
large language model
Use Cases 
Areas:
research, commercial applications
Considerations:
Users are encouraged to use the large language model responsibly and ethically.
Additional Notes 
This model was trained using H2O LLM Studio. Quantization and sharding are supported for efficient model loading and execution.
Supported Languages 
en (proficient)
Input Output 
Performance Tips:
Use GPUs for better performance.
LLM NameZ7b Beta Data V3
Repository ๐Ÿค—https://huggingface.co/jofaichow/z7b-beta-data-v3 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainerjofaichow
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than jofaichow/z7b-beta-data-v3.

Rank the Z7b Beta Data V3 Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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 v20241227