Trurl 2 7B by Voicelab

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  Autotrain compatible   En   Llama   Llama2   Pl   Pytorch   Region:us   Sharded   Trurl   Trurl-2   Voicelab
Model Card on HF ๐Ÿค—: https://huggingface.co/Voicelab/trurl-2-7b 

Trurl 2 7B Benchmarks

Trurl 2 7B (Voicelab/trurl-2-7b)
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Trurl 2 7B Parameters and Internals

Model Type 
text generation, dialogue optimization
Use Cases 
Areas:
commercial, research
Primary Use Cases:
assistant-like chat, natural language generation
Limitations:
model may produce inaccurate or biased responses
Considerations:
Before deploying applications, safety testing and tuning should be conducted.
Supported Languages 
Polish (high proficiency), English (medium proficiency)
Training Details 
Data Sources:
Alpaca comparison data with GPT, Falcon comparison data, Dolly 15k, Oasst1, Phu saferlfhf, ShareGPT version 2023.05.08v0, Voicelab private datasets, CURLICAT dataset, Polish wiki, Voicelab private dataset with sales conversations
Data Volume:
1.7 billion tokens
Context Length:
4096
Model Architecture:
Auto-regressive language model using optimized transformer architecture
Input Output 
Input Format:
Models input text only
Accepted Modalities:
text
Output Format:
Models generate text only
Performance Tips:
Follow the Llama 2 conversation template for expected performance in chat modes.
Release Notes 
Notes:
Optimized for dialogue use cases.
LLM NameTrurl 2 7B
Repository ๐Ÿค—https://huggingface.co/Voicelab/trurl-2-7b 
Model Size7b
Required VRAM13.5 GB
Updated2025-09-23
MaintainerVoicelab
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen pl
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 Size32001
Torch Data Typebfloat16

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124