Ct2fast Open Llama 7B Open Instruct by michaelfeil

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  Ctranslate2 Dataset:vmware/open-instruct-v...   En   Endpoints compatible   Float16   Instruct   Int8   Region:us

Ct2fast Open Llama 7B Open Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ct2fast Open Llama 7B Open Instruct (michaelfeil/ct2fast-open-llama-7b-open-instruct)

Ct2fast Open Llama 7B Open Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Limitations:
Fast tokenizer results in incorrect encoding, set the `use_fast = False` parameter, when instantiating the tokenizer.
Considerations:
The model is open for commercial use.
Supported Languages 
English (high proficiency)
Training Details 
Data Sources:
VMware/open-instruct-v1-oasst-dolly-hhrlhf
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use `compute_type=int8_float16` for `device="cuda"` and `compute_type=int8` for `device="cpu"` for performance enhancements.
Release Notes 
Date:
2023-06-16
Notes:
Converted using `ct2-transformers-converter` with `--quantization int8_float16`.
LLM NameCt2fast Open Llama 7B Open Instruct
Repository ๐Ÿค—https://huggingface.co/michaelfeil/ct2fast-open-llama-7b-open-instruct 
Model Size7b
Required VRAM6.7 GB
Updated2024-12-22
Maintainermichaelfeil
Instruction-BasedYes
Model Files  6.7 GB
Supported Languagesen
Model ArchitectureAutoModel
Licensecc
Model Max Length2048
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>

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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 v20241217