Ninja V1 128K by Local-Novel-LLM-project

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  Autotrain compatible   Custom code   En   Endpoints compatible   Finetuned   Ja   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Yarn

Ninja V1 128K Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ninja V1 128K (Local-Novel-LLM-project/Ninja-v1-128k)

Ninja V1 128K Parameters and Internals

Model Type 
large language model, text generation, multimodal
Use Cases 
Areas:
research, commercial applications
Considerations:
The training data may be biased. Be careful with the generated sentences. Memory usage may be large for long inferences.
Supported Languages 
en (high quality), ja (high quality)
Training Details 
Data Sources:
novel dataset
Methodology:
fine-tuning
Context Length:
128000
Hardware Used:
GPUs from LocalAI hackathon
Model Architecture:
Mistral-7B-based
Input Output 
Input Format:
Ninja adopts the prompt format from Vicuna and supports multi-turn conversation. Example: USER: Hi ASSISTANT: Hello.~~ USER: Who are you? ASSISTANT: I am ninja.~~
Accepted Modalities:
text
Performance Tips:
Set trust_remote_code to True for context expansion with YaRN. Memory usage may be large for long inferences.
LLM NameNinja V1 128K
Repository ๐Ÿค—https://huggingface.co/Local-Novel-LLM-project/Ninja-v1-128k 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerLocal-Novel-LLM-project
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen ja
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Local-Novel-LLM-project/Ninja-v1-128k.

Rank the Ninja V1 128K 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