Logical Elyza Llama2 7B Fast Instruct by Manual-Dataset-Creation-Project

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  Autotrain compatible Dataset:manual-dataset-creatio...   Endpoints compatible   Instruct   License:llama2   Llama   Region:us   Safetensors   Sharded   Tensorflow

Logical Elyza Llama2 7B Fast Instruct Parameters and Internals

Model Type 
Causal Language Model
Supported Languages 
Japanese (High Proficiency)
Training Details 
Data Sources:
Malum-130, sudy-super/CoTangent, llm-jp/oasst1-21k-ja, llm-jp/oasst2-33k-ja, Aratako/Rosebleu-1on1-Dialogues-RP, baobab-trees/wikipedia-human-retrieval-ja, aixsatoshi/Longcontext-aozora-summary, aixsatoshi/Longcontext-aozora-instruction, kunishou/amenokaku-code-instruct, HachiML/Evol-hh-rlhf-gen3-1k, minnade/chat-daily, HachiML/Hachi-Alpaca, Kendamarron/jimba-wiki-instruction-calm3
Data Volume:
11δΈ‡δ»Ά
Methodology:
Fine-tuning
Input Output 
Input Format:
Text prompt using special tokens [INST] and [/INST]
Accepted Modalities:
text
Output Format:
Generated text in response to input
LLM NameLogical Elyza Llama2 7B Fast Instruct
Repository πŸ€—https://huggingface.co/Manual-Dataset-Creation-Project/Logical-elyza-llama2-7b-fast-instruct 
Model Size7b
Required VRAM13.5 GB
Updated2024-07-04
MaintainerManual-Dataset-Creation-Project
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Logical Elyza Llama2 7B Fast Instruct (Manual-Dataset-Creation-Project/Logical-elyza-llama2-7b-fast-instruct)

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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