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Cryptid by amazingvince

 »  All LLMs  »  amazingvince  »  Cryptid   URL Share it on

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  Autotrain compatible Dataset:bee-spoke-data/fineweb...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/amazingvince/cryptid 

Cryptid Benchmarks

LLME Score: 0.18914
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cryptid (amazingvince/cryptid)

Cryptid Parameters and Internals

Model Type 
text generation, text classification
Use Cases 
Primary Use Cases:
Generating and classifying text about cryptids for entertainment, research, and educational purposes.
Limitations:
The model may not accurately generate or classify less common or very specific cryptids.
Considerations:
The model is intended for entertainment and educational purposes. It should not be used as a factual source for scientific research or investigation.
Additional Notes 
Future Work includes expanding the training dataset to include more diverse sources and improving classification accuracy for less common cryptids. Also, adding functionality for multilingual support.
Training Details 
Data Sources:
BEE-spoke-data/fineweb-cryptid-5k, Books and articles about cryptids, Online forums and discussion boards, Folklore databases, User-submitted stories and sightings
Methodology:
Text cleaning: Removal of special characters, HTML tags, and excessive whitespace. Tokenization: Breaking down text into tokens for training.
Responsible Ai Considerations 
Mitigation Strategies:
Users should be aware of the potential for generating content that might be misinterpreted as factual.
Input Output 
Input Format:
Text prompts or descriptions.
Output Format:
Generated text about cryptids or classifications of the input text as related to specific cryptids.
LLM NameCryptid
Repository 🤗https://huggingface.co/amazingvince/cryptid 
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
Maintaineramazingvince
Model Typemistral
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than amazingvince/cryptid.

Rank the Cryptid Capabilities

🆘 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
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