Raicho 7B V0.1 by Manual-Dataset-Creation-Project

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Dataset:aixsatoshi/longcontext... Dataset:aixsatoshi/longcontext... Dataset:aratako/rosebleu-1on1-... Dataset:baobab-trees/wikipedia... Dataset:hachiml/evol-hh-rlhf-g...   Dataset:hachiml/hachi-alpaca Dataset:kendamarron/jimba-wiki... Dataset:kunishou/amenokaku-cod...   Dataset:llm-jp/oasst1-21k-ja   Dataset:llm-jp/oasst2-33k-ja Dataset:manual-dataset-creatio...   Dataset:minnade/chat-daily   Dataset:sudy-super/cotangent   Instruct   Region:us   Sharded   Tensorflow

Raicho 7B V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Raicho 7B V0.1 (Manual-Dataset-Creation-Project/Raicho-7B-v0.1)

Raicho 7B V0.1 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 NameRaicho 7B V0.1
Repository πŸ€—https://huggingface.co/Manual-Dataset-Creation-Project/Raicho-7B-v0.1 
Model Size7b
Required VRAM13.5 GB
Updated2024-10-16
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
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Manual-Dataset-Creation-Project/Raicho-7B-v0.1.

Rank the Raicho 7B V0.1 Capabilities

πŸ†˜ 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227