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Seal 7B Chat by FinchResearch

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  Autotrain compatible Dataset:finchresearch/textrend...   De   En   Endpoints compatible   Es   Instruct   Language   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/FinchResearch/seal-7b-chat 

Seal 7B Chat Benchmarks

LLME Score: 0.11123
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Seal 7B Chat (FinchResearch/seal-7b-chat)
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Seal 7B Chat Parameters and Internals

Model Type 
text generation, sentiment analysis, named entity recognition
Use Cases 
Applications:
text generation, sentiment analysis, named entity recognition
Limitations:
exhibit biases or limitations present in the training data, effectiveness may vary depending on the specific task and data distribution
Supported Languages 
en (high), de (high), es (high)
Training Details 
Data Sources:
TextTrend Corpus
Methodology:
Fine-tuning techniques, model weight merging, adapter-based adaptation
Model Architecture:
Meta's LLAMA-2
LLM NameSeal 7B Chat
Repository 🤗https://huggingface.co/FinchResearch/seal-7b-chat 
Model Size7b
Required VRAM13.5 GB
Updated2025-07-02
MaintainerFinchResearch
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2   10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen de es
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than FinchResearch/seal-7b-chat.

Rank the Seal 7B Chat 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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